Flower (@flwrlabs) / X

Flower

1,508 posts

Flower

@flwrlabs

Flower: A Friendly Federated Learning Framework | flower.ai

Joined January 2023

Pinned
Flower
@flwrlabs
May 4
At Flower AI Summit 2026, Flower Labs' own Charles Beauville introduced Flower Agents and Project Kaya, and made a case for what separates a good agent from a great one. His framework: a good agent needs context, access, and control. Context so it understands the task. Access
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Flower
@flwrlabs
21h
Aug 24-25 in Cambridge: Flower Labs joins Fan Zhang, Daniel Kreuter and organizers from @Cambridge_Uni, PharosAI, @QMUL, @UniofExeter and @MTU_ie for a federated AI healthcare workshop with @jafermarq. Register: buff.ly/g9Pdro6
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Flower
@flwrlabs
Jun 19
Collaborative AI needs a new stack. At Flower Labs, our mission is to advance collaborative superintelligence: AI systems that can learn, adapt, and act together across real-world boundaries. We see 3 building blocks: First, a next-gen AI platform. Collaboration needs to be a
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Flower
@flwrlabs
Jun 18
The space economy had a big week recently, with @SpaceX's IPO drawing attention to just how much infrastructure is heading off-planet. Against that backdrop, it felt worth revisiting a quieter milestone @flwrlabs reached with @Starcloud_ earlier this year. Working together, the
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Flower
@flwrlabs
Jun 17
Andrew Ng's: "AI is the new electricity", is usually read as a prediction about scale. But the more important lesson is about infrastructure. Electricity didn't transform the world when every factory ran its own isolated generator. The real unlock was the grid: a system that let
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Flower
@flwrlabs
Jun 16
Forest monitoring is a federated learning problem when the data lives across countries. Flower Hub’s @johannes/forest-monitoring-example (created by Johannes Schumacher) is a Flower / @PyTorch app for a regression task: modeling forest timber volume from satellite time series
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Flower
@flwrlabs
Jun 15
Flower Labs is partnering with @BCPlatforms to bring federated AI into trusted research environments (TREs). @BCPlatforms' TRE, BC Mosaic, gives healthcare organizations governed, secure access to distributed clinical, genomic, and real-world data. With Flower SuperGrid now
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Flower
@flwrlabs
Jun 15
The Flower community deserves a shoutout! Flower is built for federated/collaborative AI, and we want to express our deep gratitude to everyone who builds on and contributing to Flower. It only becomes stronger because people keep reading, testing, contributing, and sharing
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Flower reposted
nic lane
@niclane7
Jun 14
The top five things we heard before @flwrlabs launched Lizzy: 1. Form a consortium before building. 2. Wait until the EU/UK AI strategy is clearer. 3. It’s too late for Europe to build AI at the frontier. 4. Sovereign AI doesn’t make sense. We’ll always have access to US models.
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Flower reposted
nic lane
@niclane7
Jun 14
Back in March, @flwrlabs released Lizzy: a sovereign UK LLM trained from scratch and released with open weights on @huggingface. Right out of the gate, it outperformed comparable-sized models from Mistral, and it has continued to improve since then. With the US government and
Made with AI
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Flower
@flwrlabs
Jun 12
At Flower AI Summit 2026, @nicospinu (Founder at AI4Cosmetics) showed how FL-CHEMSAFE used Flower for toxicology safety assessment. The pilot covered 3 concrete workflows: (1) Horizontal federated learning for skin sensitization, using federated averaging via Flower, (2)
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Flower
@flwrlabs
Jun 11
AI sovereignty is not isolation. It is collaboration on your own terms. In a new interview with PINKTUM, our CEO and co-founder @daniel_janes explains why the next chapter of AI will not be defined by a few centralized systems, but by sovereign AI networks: federated,
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Flower
@flwrlabs
Jun 11
"I am very optimistic that true European sovereignty is possible, but only if Europe is bold enough to forge its own path." -- @daniel_janes in an interview with Kristina Behrend at PINKTUM.
KI-Souveränität: Europas Weg zur Unabhängigkeit | PINKTUM
From pinktum.com
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Flower
@flwrlabs
Jun 11
A 7x gap in iron deficiency prevalence between 2 clinical environments. Same disease, same diagnostic test, completely different patient populations. Researchers from @Cambridge_Uni (study led by Fan Zhang), @amsterdamumc (AUMC), @NHSBT, @QMUL, and BloodCounts! consortium
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