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- affiliation: Yale University
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2020 – today
- 2026
[j197]Alexandros I. Papadopoulos
, Antonios Lalas, Konstantinos Votis, Leandros Tassiulas, Christos K. Liaskos:
Modeling RIS for Multi-User Resource Allocation Under Pricing-Aware Policies. IEEE Access 14: 14766-14776 (2026)- [j196]Ilias Chatzistefanidis, Navid Nikaein, Andrea Leone, Ali Maatouk, Leandros Tassiulas, Roberto Morabito, Ioannis Pitsiorlas, Marios Kountouris:
AGORAN: An agentic open marketplace for 6G RAN automation. Comput. Networks 275: 111927 (2026) - [i90]Lige Zhang, Ali Maatouk, Jialin Chen, Leandros Tassiulas, Rex Ying:
Multi-Modal Time Series Prediction via Mixture of Modulated Experts. CoRR abs/2601.21547 (2026) - 2025
- [j195]Zheyu Chen, Kin K. Leung, Shiqiang Wang, Leandros Tassiulas, Kevin S. Chan, Patrick J. Baker:
Multi-policy reinforcement learning for network resource allocation with periodic behaviors. Comput. Networks 272: 111645 (2025) - [j194]Yoganand Biradavolu, Jian Ding, Bhuvana Krishnaswamy, Leandros Tassiulas, Vaishnavi Nattar Ranganathan:
EC-Sense: Radio Energy Capture for Ultra-Low-Power Wireless Soil Moisture Sensing. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 9(4): 160:1-160:27 (2025) - [j193]Panagiotis Promponas, Tingjun Chen, Leandros Tassiulas:
On the Optimization and Stability of Sectorized Wireless Networks. IEEE Trans. Netw. 33(6): 3228-3243 (2025) - [c336]Aosong Feng, Weikang Qiu, Jinbin Bai, Zhen Dong, Kaicheng Zhou, Xiao Zhang, Rex Ying, Leandros Tassiulas:
An Item Is Worth a Prompt: Versatile Image Editing with Disentangled Control. AAAI 2025: 16559-16567 - [c335]Eftychia Makri, Georgios Palaiokrassas, Sarah Bouraga, Antigoni Polychroniadou, Leandros Tassiulas:
Ethereum Price Prediction Employing Large Language Models for Short-term and Few-shot Forecasting. BRAINS 2025: 1-10 - [c334]Ioannis Panitsas, Yagmur Yigit, Leandros Tassiulas, Leandros Maglaras, Berk Canberk:
JamShield: A Machine Learning Detection System for Over-the-Air Jamming Attacks. ICC 2025: 1067-1072 - [c333]Panagiotis Promponas, Akrit Mudvari, Luca Della Chiesa, Paul Polakos, Louis G. Samuel, Leandros Tassiulas:
Compiler for Distributed Quantum Computing: A Reinforcement Learning Approach. ICC 2025: 4615-4621 - [c332]Jiasheng Zhang, Ali Maatouk, Jialin Chen, Ngoc Bui, Qianqian Xie, Leandros Tassiulas, Hua Xu, Jie Shao, Rex Ying:
LitFM: A Retrieval Augmented Structure-aware Foundation Model For Citation Graphs. KDD (2) 2025: 3728-3739 - [c331]Trey Crump, Ali Maatouk, Kemal Davaslioglu, Sastry Kompella, Leandros Tassiulas:
SemanticRF: Towards Robust RF Scene Retrieval Using Natural Language Supervision. MILCOM 2025: 1347-1352 - [c330]Kaiyi Zhang, Nancy Samaan, Ahmed Karmouch, Leandros Tassiulas:
Towards In-Network Drift-Aware Traffic Classification. NFV-SDN 2025: 1-6 - [i89]Adnan Shahid, Adrian Kliks, Ahmed Al-Tahmeesschi, Ahmed Elbakary, Alexandros Nikou, Ali Maatouk, Ali Mokh, Amirreza Kazemi, Antonio De Domenico, Athanasios Karapantelakis, Bo Cheng, Bo Yang, Bohao Wang, Carlo Fischione, Chao Zhang, Chaouki Ben Issaid, Chau Yuen, Chenghui Peng, Chongwen Huang, Christina Chaccour, Christo Kurisummoottil Thomas, Dheeraj Sharma, Dimitris Kalogiros, Dusit Niyato, Eli De Poorter, Elissa Mhanna, Emilio Calvanese Strinati, Faouzi Bader, Fathi Abdeldayem, Fei Wang, Fenghao Zhu, Gianluca Fontanesi, Giovanni Geraci, Haibo Zhou, Hakimeh Purmehdi, Hamed Ahmadi, Hang Zou, Hongyang Du, Hoon Lee, Howard H. Yang, Iacopo Poli, Igor Carron, Ilias Chatzistefanidis, Inkyu Lee, Ioannis Pitsiorlas, Jaron Fontaine, Jiajun Wu, Jie Zeng, Jinan Li, Jinane Karam, Johny Gemayel, Juan Deng, Julien Frison, Kaibin Huang, Kehai Qiu, Keith Ball, Kezhi Wang, Kun Guo, Leandros Tassiulas, Lecorve Gwenole, Liexiang Yue, Lina Bariah, Louis Powell, Marcin Dryjanski, Maria Amparo Canaveras Galdon, Marios Kountouris, Maryam Hafeez, Maxime Elkael, Mehdi Bennis, Mehdi Boudjelli, Meiling Dai, Mérouane Debbah, Michele Polese, Mohamad Assaad, Mohamed Benzaghta, Mohammad Al Refai, Moussab Djerrab, Mubeen Syed, Muhammad Amir, Na Yan, Najla Alkaabi, Nan Li, Nassim Sehad, Navid Nikaein, Omar Hashash, Pawel Sroka, Qianqian Yang, Qiyang Zhao, Rasoul Nikbakht Silab, Rex Ying, Roberto Morabito, Rongpeng Li, Ryad Madi, Salah Eddine El Ayoubi, Salvatore D'Oro, Samson Lasaulce, Serveh Shalmashi, Sige Liu, Sihem Cherrared, Swarna Bindu Chetty, Swastika Dutta, Syed A. R. Zaidi, Tianjiao Chen, Timothy Murphy, Tommaso Melodia, Tony Q. S. Quek, Vishnu Ram, Walid Saad, Wassim Hamidouche, Weilong Chen, Xiaoou Liu, Xiaoxue Yu, Xijun Wang, Xingyu Shang, Xinquan Wang, Xuelin Cao, Yang Su, Yanping Liang, Yansha Deng, Yifan Yang, Yingping Cui, Yu Sun, Yuxuan Chen, Yvan Pointurier, Zeinab Nehme, Zeinab Nezami, Zhaohui Yang, Zhaoyang Zhang, Zhe Liu, Zhenyu Yang, Zhu Han, Zhuang Zhou, Zihan Chen, Zirui Chen, Zitao Shuai:
Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences. CoRR abs/2503.04184 (2025) - [i88]Jialin Chen, Aosong Feng, Ziyu Zhao, Juan Garza, Gaukhar Nurbek, Cheng Qin, Ali Maatouk, Leandros Tassiulas, Yifeng Gao, Rex Ying:
MTBench: A Multimodal Time Series Benchmark for Temporal Reasoning and Question Answering. CoRR abs/2503.16858 (2025) - [i87]Eftychia Makri, Georgios Palaiokrassas, Sarah Bouraga, Antigoni Polychroniadou, Leandros Tassiulas:
Ethereum Price Prediction Employing Large Language Models for Short-term and Few-shot Forecasting. CoRR abs/2503.23190 (2025) - [i86]Neil He, Rishabh Anand, Hiren Madhu, Ali Maatouk, Smita Krishnaswamy, Leandros Tassiulas, Menglin Yang, Rex Ying:
HELM: Hyperbolic Large Language Models via Mixture-of-Curvature Experts. CoRR abs/2505.24722 (2025) - [i85]Jialin Chen, Ziyu Zhao, Gaukhar Nurbek, Aosong Feng, Ali Maatouk, Leandros Tassiulas, Yifeng Gao, Rex Ying:
TRACE: Grounding Time Series in Context for Multimodal Embedding and Retrieval. CoRR abs/2506.09114 (2025) - [i84]Ioannis Panitsas, Yagmur Yigit, Leandros Tassiulas, Leandros Maglaras, Berk Canberk:
JamShield: A Machine Learning Detection System for Over-the-Air Jamming Attacks. CoRR abs/2507.11483 (2025) - [i83]Ilias Chatzistefanidis, Navid Nikaein, Andrea Leone, Ali Maatouk, Leandros Tassiulas, Roberto Morabito, Ioannis Pitsiorlas, Marios Kountouris:
Agoran: An Agentic Open Marketplace for 6G RAN Automation. CoRR abs/2508.09159 (2025) - [i82]Ioannis Panitsas, Iason Ofeidis, Leandros Tassiulas:
On-Device Multimodal Federated Learning for Efficient Jamming Detection. CoRR abs/2508.09369 (2025) - [i81]Ioannis Panitsas, Akrit Mudvari, Leandros Tassiulas:
D2Q Synchronizer: Distributed SDN Synchronization for Time Sensitive Applications. CoRR abs/2508.11475 (2025) - [i80]Ioannis Panitsas, Tolga O. Atalay, Dragoslav Stojadinovic, Angelos Stavrou, Leandros Tassiulas:
5GC-Bench: A Framework for Stress-Testing and Benchmarking 5G Core VNFs. CoRR abs/2509.18443 (2025) - [i79]Ioannis Panitsas, Tolga O. Atalay, Dragoslav Stojadinovic, Angelos Stavrou, Leandros Tassiulas:
Accelerating Network Slice Placement with Multi-Agent Reinforcement Learning. CoRR abs/2509.18545 (2025) - [i78]Austin Feng, Andreas Varvarigos, Ioannis Panitsas, Daniela Fernandez, Jinbiao Wei, Yuwei Guo, Jialin Chen, Ali Maatouk, Leandros Tassiulas, Rex Ying:
TelecomTS: A Multi-Modal Observability Dataset for Time Series and Language Analysis. CoRR abs/2510.06063 (2025) - [i77]Ashutosh Jayant Dikshit, Naga Lakshmi Anipeddi, Prajit Dhara, Saikat Guha, Deirdre Kilbane, Leandros Tassiulas, Don Towsley, Nitish K. Panigrahy:
Scheduling in Quantum Satellite Networks: Fairness and Performance Optimization. CoRR abs/2512.07108 (2025) - 2024
- [j192]Víctor Valls, Panagiotis Promponas, Leandros Tassiulas:
A Brief Introduction to Quantum Network Control. IEEE Commun. Mag. 62(10): 48-53 (2024) - [j191]Panagiotis Promponas, Víctor Valls, Saikat Guha, Leandros Tassiulas:
Maximizing Entanglement Rates via Efficient Memory Management in Flexible Quantum Switches. IEEE J. Sel. Areas Commun. 42(7): 1749-1762 (2024) - [j190]Bing Luo, Wenli Xiao, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas:
Adaptive Heterogeneous Client Sampling for Federated Learning Over Wireless Networks. IEEE Trans. Mob. Comput. 23(10): 9663-9677 (2024) - [j189]Akrit Mudvari, Antero Vainio, Iason Ofeidis, Sasu Tarkoma, Leandros Tassiulas:
Adaptive Compression-Aware Split Learning and Inference for Enhanced Network Efficiency. ACM Trans. Internet Techn. 24(4): 1-26 (2024) - [j188]Haoyue Tang, Yin Sun, Leandros Tassiulas:
Sampling of the Wiener Process for Remote Estimation Over a Channel With Unknown Delay Statistics. IEEE/ACM Trans. Netw. 32(3): 1920-1935 (2024) - [j187]Seyed Mohammad Azimi-Abarghouyi, Leandros Tassiulas:
Over-the-Air Federated Learning via Weighted Aggregation. IEEE Trans. Wirel. Commun. 23(12): 18240-18253 (2024) - [c329]Iason Ofeidis, Diego Kiedanski, Leandros Tassiulas:
An Overview of the Data-Loader Landscape: Comparative Performance Analysis. IEEE Big Data 2024: 360-367 - [c328]Panagiotis Promponas, Víctor Valls, Konstantinos E. Nikolakakis, Dionysis Kalogerias, Leandros Tassiulas:
Throughput-Optimal Scheduling via Rate Learning. CDC 2024: 2429-2436 - [c327]Aosong Feng, Rex Ying, Leandros Tassiulas:
Long Sequence Modeling with Attention Tensorization: From Sequence to Tensor Learning. EMNLP (Findings) 2024: 14642-14655 - [c326]Georgios Palaiokrassas, Sandro Scherrers, Eftychia Makri, Leandros Tassiulas:
Machine Learning in DeFi: Credit Risk Assessment and Liquidation Prediction. ICBC 2024: 650-654 - [c325]Georgios Palaiokrassas, Sandro Scherrers, Iason Ofeidis, Leandros Tassiulas:
Leveraging Machine Learning For Multichain DeFi Fraud Detection. ICBC 2024: 678-680 - [c324]Yagmur Yigit, Ioannis Panitsas, Leandros Maglaras, Leandros Tassiulas, Berk Canberk:
Cyber-Twin: Digital Twin-Boosted Autonomous Attack Detection for Vehicular Ad-Hoc Networks. ICC 2024: 2167-2172 - [c323]Trey Crump, Sastry Kompella, Clement Kam, Leandros Tassiulas:
SAR Data Generation Using Denoising Diffusion Probabilistic Models. MILCOM 2024: 288-293 - [c322]Jian Ding, Ranveer Chandra, Rattan Lal, Leandros Tassiulas:
Cost-Effective Soil Carbon Sensing with Wi-Fi and Optical Signals. MobiCom 2024: 1015-1029 - [c321]Jian Ding, Ranveer Chandra, Rattan Lal, Leandros Tassiulas:
Scarf: Soil Carbon Sensing with Wi-Fi and Optical Signals. MobiCom 2024: 1653-1655 - [c320]Jialin Chen, Jan Eric Lenssen, Aosong Feng, Weihua Hu, Matthias Fey, Leandros Tassiulas, Jure Leskovec, Rex Ying:
From Similarity to Superiority: Channel Clustering for Time Series Forecasting. NeurIPS 2024 - [c319]Akrit Mudvari, Leandros Tassiulas:
Joint SDN Synchronization and Controller Placement in Wireless Networks using Deep Reinforcement Learning. NOMS 2024: 1-9 - [d1]Ioannis Panitsas, Yagmur Yigit, Leandros Tassiulas, Leandros Maglaras, Berk Canberk:
JamShield Dataset. IEEE DataPort, 2024
- [i76]Yagmur Yigit, Ioannis Panitsas, Leandros Maglaras, Leandros Tassiulas, Berk Canberk:
Cyber-Twin: Digital Twin-boosted Autonomous Attack Detection for Vehicular Ad-Hoc Networks. CoRR abs/2401.14005 (2024) - [i75]Aosong Feng, Weikang Qiu, Jinbin Bai, Kaicheng Zhou, Zhen Dong, Xiao Zhang, Rex Ying, Leandros Tassiulas:
An Item is Worth a Prompt: Versatile Image Editing with Disentangled Control. CoRR abs/2403.04880 (2024) - [i74]Aosong Feng, Jialin Chen, Juan Garza, Brooklyn Berry, Francisco Salazar, Yifeng Gao, Rex Ying, Leandros Tassiulas:
Efficient High-Resolution Time Series Classification via Attention Kronecker Decomposition. CoRR abs/2403.04882 (2024) - [i73]Ioannis Panitsas, Akrit Mudvari, Leandros Tassiulas:
Constrained Reinforcement Learning for Adaptive Controller Synchronization in Distributed SDN. CoRR abs/2403.08775 (2024) - [i72]Georgios Palaiokrassas, Sarah Bouraga, Leandros Tassiulas:
Machine Learning on Blockchain Data: A Systematic Mapping Study. CoRR abs/2403.17081 (2024) - [i71]Jialin Chen, Jan Eric Lenssen, Aosong Feng, Weihua Hu, Matthias Fey, Leandros Tassiulas, Jure Leskovec, Rex Ying:
From Similarity to Superiority: Channel Clustering for Time Series Forecasting. CoRR abs/2404.01340 (2024) - [i70]Ioannis Panitsas, Akrit Mudvari, Ali Maatouk, Leandros Tassiulas:
Predictive Handover Strategy in 6G and Beyond: A Deep and Transfer Learning Approach. CoRR abs/2404.08113 (2024) - [i69]Bing Luo, Wenli Xiao, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas:
Adaptive Heterogeneous Client Sampling for Federated Learning over Wireless Networks. CoRR abs/2404.13804 (2024) - [i68]Panagiotis Promponas, Akrit Mudvari, Luca Della Chiesa, Paul Polakos, Louis G. Samuel, Leandros Tassiulas:
Compiler for Distributed Quantum Computing: a Reinforcement Learning Approach. CoRR abs/2404.17077 (2024) - [i67]Ali Maatouk, Kenny Chirino Ampudia, Rex Ying, Leandros Tassiulas:
Tele-LLMs: A Series of Specialized Large Language Models for Telecommunications. CoRR abs/2409.05314 (2024) - [i66]Seyed Mohammad Azimi-Abarghouyi, Leandros Tassiulas:
Over-the-Air Federated Learning via Weighted Aggregation. CoRR abs/2409.07822 (2024) - [i65]Panagiotis Promponas, Víctor Valls, Konstantinos E. Nikolakakis, Dionysis Kalogerias, Leandros Tassiulas:
Throughput-Optimal Scheduling via Rate Learning. CoRR abs/2409.09198 (2024) - [i64]Jiasheng Zhang, Jialin Chen, Ali Maatouk, Ngoc Bui, Qianqian Xie, Leandros Tassiulas, Jie Shao, Hua Xu, Rex Ying:
LitFM: A Retrieval Augmented Structure-aware Foundation Model For Citation Graphs. CoRR abs/2409.12177 (2024) - [i63]Akrit Mudvari, Yuang Jiang, Leandros Tassiulas:
SplitLLM: Collaborative Inference of LLMs for Model Placement and Throughput Optimization. CoRR abs/2410.10759 (2024) - [i62]Aosong Feng, Rex Ying, Leandros Tassiulas:
Long Sequence Modeling with Attention Tensorization: From Sequence to Tensor Learning. CoRR abs/2410.20926 (2024) - [i61]Yifei Jin, Ali Maatouk, Sarunas Girdzijauskas, Shugong Xu, Leandros Tassiulas, Rex Ying:
SANDWICH: Towards an Offline, Differentiable, Fully-Trainable Wireless Neural Ray-Tracing Surrogate. CoRR abs/2411.08767 (2024) - [i60]Hongyi He, Haoyue Tang, Jiayu Pan, Jintao Wang, Jian Song, Leandros Tassiulas:
Age Optimal Sampling for Unreliable Channels under Unknown Channel Statistics. CoRR abs/2412.18119 (2024) - 2023
- [j186]Víctor Valls, Panagiotis Promponas, Leandros Tassiulas:
On the Capacity of the Quantum Switch With and Without Entanglement Decoherence. IEEE Commun. Lett. 27(9): 2388-2392 (2023) - [j185]Yuchao Chen, Haoyue Tang, Jintao Wang, Pengkun Yang, Leandros Tassiulas:
Sampling for remote estimation of an Ornstein-Uhlenbeck process through channel with unknown delay statistics. J. Commun. Networks 25(5): 670-687 (2023) - [j184]Changgang Zheng, Haoyue Tang, Mingyuan Zang, Xinpeng Hong, Aosong Feng, Leandros Tassiulas, Noa Zilberman:
DINC: Toward Distributed In-Network Computing. PACMNET 1(CoNEXT3): 14:1-14:25 (2023) - [j183]David Elkouss, John C. S. Lui, Leandros Tassiulas:
The First Workshop on Quantum Systems and Computations (2023). SIGMETRICS Perform. Evaluation Rev. 51(2): 65 (2023) - [j182]Panagiotis Promponas, Víctor Valls, Leandros Tassiulas:
Quantum Switch Scheduling for Information Qubits. SIGMETRICS Perform. Evaluation Rev. 51(2): 78-80 (2023) - [j181]Zheyu Chen, Kin K. Leung, Shiqiang Wang, Leandros Tassiulas, Kevin S. Chan, Don Towsley:
Use Coupled LSTM Networks to Solve Constrained Optimization Problems. IEEE Trans. Cogn. Commun. Netw. 9(2): 304-316 (2023) - [j180]Haoyue Tang, Yuchao Chen, Jintao Wang, Pengkun Yang, Leandros Tassiulas:
Age Optimal Sampling Under Unknown Delay Statistics. IEEE Trans. Inf. Theory 69(2): 1295-1314 (2023) - [j179]Seyed Mohammad Azimi-Abarghouyi, Harpreet S. Dhillon, Leandros Tassiulas:
Fundamentals of Clustered Molecular Nanonetworks. IEEE Trans. Mol. Biol. Multi Scale Commun. 9(2): 135-145 (2023) - [j178]Yuang Jiang, Shiqiang Wang, Víctor Valls, Bong Jun Ko, Wei-Han Lee, Kin K. Leung, Leandros Tassiulas:
Model Pruning Enables Efficient Federated Learning on Edge Devices. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10374-10386 (2023) - [j177]Christos Liaskos, Konstantinos Alexandris, Anindya Das, Siyu Tang, Leandros Tassiulas:
Analysis and Evaluation of Fully TCP-Compatible Backpressure-Driven Traffic Engineering. IEEE Trans. Netw. Sci. Eng. 10(6): 4056-4070 (2023) - [c318]Zheyu Chen, Kin K. Leung, Shiqiang Wang, Leandros Tassiulas, Kevin S. Chan, Patrick J. Baker:
Reinforcement Learning for Resource Allocation with Periodic Traffic Patterns. ICC Workshops 2023: 752-757 - [c317]Akrit Mudvari, Konstantinos Poularakis, Leandros Tassiulas:
Robust SDN Synchronization in Mobile Networks Using Deep Reinforcement and Transfer Learning. ICC 2023: 1080-1085 - [c316]Seyed Mohammad Azimi-Abarghouyi, Harpreet S. Dhillon, Leandros Tassiulas:
Interference-Aware Molecular Detector Design for Clustered Bio-Nanonetworks. ICC 2023: 6084-6089 - [c315]Bing Luo, Yutong Feng, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas:
Incentive Mechanism Design for Unbiased Federated Learning with Randomized Client Participation. ICDCS 2023: 545-555 - [c314]Antero Vainio, Akrit Mudvari, Diego Kiedanski, Sasu Tarkoma, Leandros Tassiulas:
Fog Computing for Deep Learning with Pipelines. ICFEC 2023: 64-72 - [c313]Nitish K. Panigrahy, Thirupathaiah Vasantam, Don Towsley, Leandros Tassiulas:
On the Capacity Region of a Quantum Switch with Entanglement Purification. INFOCOM 2023: 1-10 - [c312]Panagiotis Promponas, Leandros Tassiulas:
Network Slicing: Market Mechanism and Competitive Equilibria. INFOCOM 2023: 1-10 - [c311]Nikolaos Papadis, Leandros Tassiulas:
Deep Reinforcement Learning-Based Rebalancing Policies for Profit Maximization of Relay Nodes in Payment Channel Networks. MARBLE 2023: 1-27 - [c310]Zheyu Chen, Kin K. Leung, Shiqiang Wang, Leandros Tassiulas, Kevin S. Chan, Patrick J. Baker:
Learning Technique to Solve Periodic Markov Decision Process for Network Resource Allocation. MILCOM 2023: 464-470 - [c309]Panagiotis Promponas, Tingjun Chen, Leandros Tassiulas:
Optimizing Sectorized Wireless Networks: Model, Analysis, and Algorithm. MobiHoc 2023: 141-150 - [c308]Panagiotis Promponas, Víctor Valls, Leandros Tassiulas:
Full Exploitation of Limited Memory in Quantum Entanglement Switching. IFIP Networking 2023: 1-9 - [c307]Nitish K. Panigrahy, Matheus Guedes de Andrade, Shahrooz Pouryousef, Don Towsley, Leandros Tassiulas:
Scalable Multipartite Entanglement Distribution in Quantum Networks. QCE 2023: 391-392 - [c306]Hongyi He, Haoyue Tang, Jiayu Pan, Jintao Wang, Jian Song, Leandros Tassiulas:
Age Optimal Sampling for Unreliable Channels Under Unknown Channel Statistics. WiOpt 2023: 651-656 - [i59]Panagiotis Promponas, Leandros Tassiulas:
Network Slicing: Market Mechanism and Competitive Equilibria. CoRR abs/2301.02840 (2023) - [i58]Bing Luo, Yutong Feng, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas:
Incentive Mechanism Design for Unbiased Federated Learning with Randomized Client Participation. CoRR abs/2304.07981 (2023) - [i57]Panagiotis Promponas, Víctor Valls, Leandros Tassiulas:
Full Exploitation of Limited Memory in Quantum Entanglement Switching. CoRR abs/2304.10602 (2023) - [i56]Georgios Palaiokrassas, Sandro Scherrers, Iason Ofeidis, Leandros Tassiulas:
Leveraging Machine Learning for Multichain DeFi Fraud Detection. CoRR abs/2306.07972 (2023) - [i55]Panagiotis Promponas, Tingjun Chen, Leandros Tassiulas:
Optimizing Sectorized Wireless Networks: Model, Analysis, and Algorithm. CoRR abs/2308.10970 (2023) - [i54]Yuchao Chen, Haoyue Tang, Jintao Wang, Pengkun Yang, Leandros Tassiulas:
Sampling for Remote Estimation of an Ornstein-Uhlenbeck Process through Channel with Unknown Delay Statistics. CoRR abs/2308.15401 (2023) - [i53]Jinheng Zhang, Haoyue Tang, Jintao Wang, Sastry Kompella, Leandros Tassiulas:
Age Optimum Sampling in Non-Stationary Environment. CoRR abs/2310.20275 (2023) - [i52]S. Travis Waller, Amalia Polydoropoulou, Leandros Tassiulas, Athanasios K. Ziliaskopoulos, Sisi Jian, Susann Wagenknecht, Georg Hirte, Tomasz Bednarz:
Mobility as a Resource (MaaR) for resilient human-centric automation: a vision paper. CoRR abs/2311.02786 (2023) - [i51]Akrit Mudvari, Leandros Tassiulas:
Joint SDN Synchronization and Controller Placement in Wireless Networks using Deep Reinforcement Learning. CoRR abs/2311.05582 (2023) - [i50]Akrit Mudvari, Antero Vainio, Iason Ofeidis, Sasu Tarkoma, Leandros Tassiulas:
Deep Learning Architecture for Network-Efficiency at the Edge. CoRR abs/2311.05739 (2023) - 2022
- [j176]Leandros A. Maglaras, Mohamed Amine Ferrag, Helge Janicke, Nick Ayres, Leandros Tassiulas:
Reliability, Security, and Privacy in Power Grids. Computer 55(9): 85-88 (2022) - [c305]Aosong Feng, Chenyu You, Shiqiang Wang, Leandros Tassiulas:
KerGNNs: Interpretable Graph Neural Networks with Graph Kernels. AAAI 2022: 6614-6622 - [c304]Yuang Jiang, Konstantinos Poularakis, Diego Kiedanski, Sastry Kompella, Leandros Tassiulas:
Robust and Resource-efficient Machine Learning Aided Viewport Prediction in Virtual Reality. IEEE Big Data 2022: 1002-1013 - [c303]Michael Darlin, Georgios Palaiokrassas, Leandros Tassiulas:
Debt-Financed Collateral and Stability Risks in the DeFi Ecosystem. BRAINS 2022: 5-12 - [c302]Aosong Feng, Leandros Tassiulas:
Adaptive Graph Spatial-Temporal Transformer Network for Traffic Forecasting. CIKM 2022: 3933-3937 - [c301]Akrit Mudvari, Nikos Makris, Leandros Tassiulas:
Exploring ML methods for Dynamic Scaling of beyond 5G Cloud-Native RANs. ICC 2022: 2284-2289 - [c300]Leandros Maglaras, Nick Ayres, Sotiris Moschoyiannis, Leandros Tassiulas:
The end of Eavesdropping Attacks through the Use of Advanced End to End Encryption Mechanisms. INFOCOM Workshops 2022: 1-2 - [c299]Nitish K. Panigrahy, Prajit Dhara, Don Towsley, Saikat Guha, Leandros Tassiulas:
Optimal Entanglement Distribution using Satellite Based Quantum Networks. INFOCOM Workshops 2022: 1-6 - [c298]Nikolaos Papadis, Leandros Tassiulas:
Payment Channel Networks: Single-Hop Scheduling for Throughput Maximization. INFOCOM 2022: 900-909 - [c297]Bing Luo, Wenli Xiao, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas:
Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling. INFOCOM 2022: 1739-1748 - [c296]Nithish Velagala, Leandros Maglaras, Nick Ayres, Sotiris Moschoyiannis, Leandros Tassiulas:
Enhancing Privacy of Online Chat Apps Utilising Secure Node End-to-End Encryption (SNE2EE). ISCC 2022: 1-3 - [c295]Haoyue Tang, Yin Sun, Leandros Tassiulas:
Sampling of the wiener process for remote estimation over a channel with unknown delay statistics. MobiHoc 2022: 51-60 - [i49]Aosong Feng, Chenyu You, Shiqiang Wang, Leandros Tassiulas:
KerGNNs: Interpretable Graph Neural Networks with Graph Kernels. CoRR abs/2201.00491 (2022) - [i48]Haoyue Tang, Yuchao Chen, Jintao Wang, Pengkun Yang, Leandros Tassiulas:
Age Optimal Sampling Under Unknown Delay Statistics. CoRR abs/2202.13367 (2022) - [i47]Nitish K. Panigrahy, Prajit Dhara, Don Towsley, Saikat Guha, Leandros Tassiulas:
Optimal Entanglement Distribution using Satellite Based Quantum Networks. CoRR abs/2205.12354 (2022) - [i46]Aosong Feng, Leandros Tassiulas:
Adaptive Graph Spatial-Temporal Transformer Network for Traffic Flow Forecasting. CoRR abs/2207.05064 (2022) - [i45]Haoyue Tang, Yin Sun, Leandros Tassiulas:
Sampling of the Wiener Process for Remote Estimation over a Channel with Unknown Delay Statistics. CoRR abs/2207.08020 (2022) - [i44]Seyed Mohammad Azimi-Abarghouyi, Harpreet S. Dhillon, Leandros Tassiulas:
Fundamentals of Clustered Molecular Nanonetworks. CoRR abs/2208.14213 (2022) - [i43]Iason Ofeidis, Diego Kiedanski, Leandros Tassiulas:
An Overview of the Data-Loader Landscape: Comparative Performance Analysis. CoRR abs/2209.13705 (2022) - [i42]Jordi Ros-Giralt, Noah Amsel, Sruthi Yellamraju, James R. Ezick, Richard Lethin, Yuang Jiang, Aosong Feng, Leandros Tassiulas:
A Quantitative Theory of Bottleneck Structures for Data Networks. CoRR abs/2210.03534 (2022) - [i41]Nikolaos Papadis, Leandros Tassiulas:
Deep Reinforcement Learning-based Rebalancing Policies for Profit Maximization of Relay Nodes in Payment Channel Networks. CoRR abs/2210.07302 (2022) - [i40]Nitish K. Panigrahy, Thirupathaiah Vasantam, Don Towsley, Leandros Tassiulas:
On the Capacity Region of a Quantum Switch with Entanglement Purification. CoRR abs/2212.01463 (2022) - [i39]Yuang Jiang, Konstantinos Poularakis, Diego Kiedanski, Sastry Kompella, Leandros Tassiulas:
Robust and Resource-efficient Machine Learning Aided Viewport Prediction in Virtual Reality. CoRR abs/2212.09945 (2022) - [i38]Nikolaos Papadis, Leandros Tassiulas:
Deep Reinforcement Learning-based Rebalancing Policies for Profit Maximization of Relay Nodes in Payment Channel Networks. IACR Cryptol. ePrint Arch. 2022: 1385 (2022) - 2021
- [b1]Konstantinos Poularakis, Leandros Tassiulas, T. V. Lakshman:
Modeling and Optimization in Software-Defined Networks. Synthesis Lectures on Learning, Networks, and Algorithms, Morgan & Claypool Publishers 2021, ISBN 978-3-031-01254-9, pp. 1-174 - [j175]Bing Luo, Xiang Li, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas:
Cost-Effective Federated Learning in Mobile Edge Networks. IEEE J. Sel. Areas Commun. 39(12): 3606-3621 (2021) - [j174]Yuang Jiang, Murali S. Kodialam, T. V. Lakshman, Sarit Mukherjee, Leandros Tassiulas:
Resource Allocation in Data Centers Using Fast Reinforcement Learning Algorithms. IEEE Trans. Netw. Serv. Manag. 18(4): 4576-4588 (2021) - [j173]Víctor Valls, George Iosifidis, Leandros Tassiulas:
Birkhoff's Decomposition Revisited: Sparse Scheduling for High-Speed Circuit Switches. IEEE/ACM Trans. Netw. 29(6): 2399-2412 (2021) - [j172]Yeshwanth Venkatesha, Youngeun Kim, Leandros Tassiulas, Priyadarshini Panda:
Federated Learning With Spiking Neural Networks. IEEE Trans. Signal Process. 69: 6183-6194 (2021) - [c294]Nicholas Nordlund, Vassilis Vassiliadis, Michele Gazzetti, Dimitris Syrivelis, Leandros Tassiulas:
Energy-Aware Learning Agent (EALA) for Disaggregated Cloud Scheduling. CLOUD 2021: 578-583 - [c293]Akrit Mudvari, Nikos Makris, Leandros Tassiulas:
ML-driven scaling of 5G Cloud-Native RANs. GLOBECOM 2021: 1-6 - [c292]Konstantinos Poularakis, Qiaofeng Qin, Franck Le, Sastry Kompella, Leandros Tassiulas:
Generalizable and Interpretable Deep Learning for Network Congestion Prediction. ICNP 2021: 1-10 - [c291]Bing Luo, Xiang Li, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas:
Cost-Effective Federated Learning Design. INFOCOM 2021: 1-10 - [c290]Zheyu Chen, Kin K. Leung, Shiqiang Wang, Leandros Tassiulas, Kevin Chan:
Robust Solutions to Constrained Optimization Problems by LSTM Networks. MILCOM 2021: 503-508 - [c289]Jordi Ros-Giralt, Noah Amsel, Sruthi Yellamraju, James R. Ezick, Richard Lethin, Yuang Jiang, Aosong Feng, Leandros Tassiulas, Zhenguo Wu, Min Yee Teh, Keren Bergman:
Designing data center networks using bottleneck structures. SIGCOMM 2021: 319-348 - [c288]Leandros Tassiulas:
Enabling Intelligent Services at the Network Edge. SIGMETRICS (Abstracts) 2021: 69-70 - [i37]Nikolaos Papadis, Leandros Tassiulas:
State-Dependent Processing in Payment Channel Networks for Throughput Optimization. CoRR abs/2103.17207 (2021) - [i36]Yeshwanth Venkatesha, Youngeun Kim, Leandros Tassiulas, Priyadarshini Panda:
Federated Learning with Spiking Neural Networks. CoRR abs/2106.06579 (2021) - [i35]Bing Luo, Xiang Li, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas:
Cost-Effective Federated Learning in Mobile Edge Networks. CoRR abs/2109.05411 (2021) - [i34]Bing Luo, Wenli Xiao, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas:
Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling. CoRR abs/2112.11256 (2021) - 2020
- [j171]Nikolaos Papadis, Leandros Tassiulas:
Blockchain-Based Payment Channel Networks: Challenges and Recent Advances.