Taner Topal

Co-creator of Flower, the friendly federated learning framework.

[Taner Topal @_tanertopal]

We just launched Flower Hub.

A persistent problem in federated learning is that the app layer never really had a proper home. Discovery was weak, sharing was clunky, and trust was mostly implicit.

Flower Hub changes that by making collaboration around apps much easier.

It gives the community a place to publish Flower Apps, review them, and star them. That makes trust more explicit and portable, so others can run the same apps with much less friction.

The result is a simpler way to share trusted training pipelines for collaborative AI.

I’m especially interested in what this could unlock for projects like autoresearch, where the ability to exchange and run training pipelines across distributed data feels fundamental.

Would love to hear what you think.

[Flower @flwrlabs]

Today, together with our launch partners, we’re proud to introduce Flower Hub -- an app hub for publishing, discovering, and running Flower apps across heterogeneous environments.

Flower Hub enables developers to focus on what matters most: building decentralized and federated AI applications. The underlying infrastructure -- from distribution to execution, across both simulation and real-world deployments -- is handled by Flower.

This launch represents a major step forward for collaborative AI. It marks the transition from a world of isolated projects to an open platform where a community can share, reuse, and build trusted apps together.

The era of collaborative AI starts now.

Flower Hub Launch Partners: Mozilla AI (@MozillaAI), Owkin (@Owkin_AI), Sony AI (@SonyAI_global), BloodCounts! (@blood_counts), Fraunhofer IMS (@FraunhoferIMS), Gachon University, SYNTHEMA (@SYNTHEMA_EU), the University of Cambridge, the University of Melbourne, and the Vector Institute (@VectorInstitute)

[Daniel J. Beutel @daniel_janes]

Join us tomorrow at ⁦@DeepLearningAI⁩ 's AI Dev 26

[Radical Living @RadicalFalk]

I'm leaving Germany | Brutally Honest Review

[Chong Shen Ng, PhD @chongshenng]

Proud to share that today, we're launching Flower Hub; a place for publishing, discovering, and running Flower apps across heterogeneous environments 🎉🎊.

More than 100 apps are already live on Flower Hub from day one.

Personally excited about this launch! 🚀😁

[Parul Pandey @pandeyparul]

Flower makes it very easy to start with federated learning without worrying about any complex setup. For local simulation, there are basically two commands you need to care about:

• one to generate the app — flwr new and
• one to run it—flwr run

[Flower @flwrlabs]

Flower Labs and Starcloud Reach a Major AI Milestone in Orbit

AI infrastructure is expanding beyond Earth, with space emerging as a key part of where AI is headed next.

Today, @flwrlabs and @Starcloud_ are sharing an important step forward: the successful execution of an AI workload using Flower on an operational Starcloud satellite, with telemetry retrieved from orbit confirming end-to-end execution.

The mission included locally fine-tuning a ViT transformer to classify high-resolution satellite imagery, urban areas, forests, lakes, and more -- directly on the satellite where the data is generated.

The result points to a new paradigm for AI infrastructure. Model training and updates no longer need to rely exclusively on centralized cloud data centers; they can take place in space.

This is only the beginning. We look forward to building larger, decentralized AI networks in orbit in continued collaboration with Starcloud.

Full Blog Post Announcement: https://t.co/Kv8ilk18UA

@ycombinator

[Taner Topal @_tanertopal]

Similar experience here: I can work in unfamiliar stacks by describing intent and validating outcomes. I can usually judge correctness, but without the LLM I wouldn't know which APIs to reach for or even what to search. Feels like if you know what you want, you can build it in almost any ecosystem like suddenly being fluent in every language.

[Flower @flwrlabs]

🌼 Flower Labs is hiring a Senior DevOps Engineer to help shape the future of open-source AI.

In this role, you’ll design, automate, and operate the infrastructure that powers Flower’s open-source and enterprise platforms, the leading framework for federated and decentralized AI, trusted by organizations like @mozilla, @OwkinScience, and @jpmorgan

If you’re passionate about building automation, optimizing systems, and contributing to the world’s most popular open-source federated learning framework, this role offers a chance to make real impact in AI infrastructure.

👉 Apply here: https://t.co/8PMSjqiKeQ

[Flower @flwrlabs]

🚀 Berlin, get ready to federate!

We’re thrilled to co-host our next hackathon. Together with @exalsius, Technische Universität Berlin, and the Einstein Center Digital Future (@ECDigitalFuture), we’re launching Cold Start: Distributed AI Hack Berlin.

Join us on November 14 & 15 for Europe’s first hackathon focused on federated and decentralized AI.

🎯 Your mission: Use a distributed GPU setup (prepared and provided by exalsius and Flower Labs) + curated datasets to train the best-performing federated model.

⏱️ Nov 14 & 15
📍 Einstein Center Digital Future, Wilhelmstraße 67, 10117 Berlin
🔗 RSVP: https://t.co/JFPFxc8hRP
⚠️ Limited spots -> apply fast!
🍕 Drinks, pizza, lunch & good vibes
Join us and shape the future of distributed AI.

[Yan Gao @yangao381]

🚀 New Paper Alert: FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of LLMs — from @flwrlabs

We're thrilled to introduce FlowerTune, the first benchmark that evaluates federated fine-tuning of 26+ LLMs across 4 domains: NLP, Finance, Medical, & Code.

[Flower @flwrlabs]

We’re excited to announce that @AMD is sponsoring our upcoming Decentralized AI Hackathon by Flower event. AMD will be providing two Radeon GPU that will be added the existing prize pool. 🎉

Looking forward to seeing so many at @Stanford next Friday for this sold out event.

🏆 Big thanks to AMD for supporting the community and empowering builders, researchers, and students to experiment with decentralized AI methods.

📍Jen-hsun Huang Engineering Center, Stanford University
📅 26 September 2025
🔗 More details: https://t.co/WwAIbhSYWK

[William Lindskog @WilliamLMnz]

🌼 Flower AI Day is Coming 🌼

The future of AI is federated and @flwrlabs is bringing together leaders, builders, and visionaries to shape it.

🎤 Hear from pioneers from @cohere, @jpmorgan, @Meta, @togethercompute, @GoogleDeepMind, @Stanford and more!

🚀 Join us for a day of cutting-edge talks, hands-on demos, and community connections.

📍 @SHACK15sf, Ferry Building - San Francisco
📅 September 25, 2025
🎟️ Reserve your spot now: https://t.co/255xSLI6Su

🔗 Watch the promo video below and see why you can’t miss it 👇

#FederatedLearning #AI #Innovation

[Taner Topal @_tanertopal]

The Flower Enterprise Launch Stream is live! https://t.co/0ByLBjYyYG

[Flower @flwrlabs]

🚨 The Flower Enterprise Launch Livestream kicks off today — and we’re going live with Session 1 in just 30 minutes!

Built on the trusted open-source Flower framework, Flower Enterprise is designed to accelerate the real-world adoption of federated AI at scale. It delivers the security, scalability, and deployment tools that large organizations need to bring federated systems into production.

🎥 Here’s what’s coming up in Session 1:

→ Welcome and Introduction to Flower Enterprise
 🌼 Daniel Beutel (@daniel_janes) -- Co-founder and CEO, Flower Labs
→ Special enterprise guests:
 🧬 Nikolas Pontikos (@npontikos) -- Co-founder, @Eye2Gene
 💡 Matthieu Blottière -- Tech Lead, @OwkinScience
→ Live Demo of Flower Enterprise
 🌼 Chong Shen Ng (@chongshenng) and Javier Fernandez (@jafermarq) -- Flower Labs

If you can't make Session 1, join us for one of the other sessions later today!

🏗️ Learn more about Flower Enterprise: https://t.co/Si8eKrE1v6
☎️ Book a demo: https://t.co/9h2g5QWbmV
📺 Livestream on Flower Social: LinkedIn · X · YouTube

[William Lindskog @WilliamLMnz]

😎 Think AI is cool?

🗓️No plans for September 25, 2025?

Well, now you do.

🌼Flower AI Day 2025 is taking place in San Fransisco (@SHACK15sf) on September 25. It's the largest federated AI conference - now on the west coast as well.

🎙️Bunch of cool speakers from @Meta, @cohere, @Stanford, and more to be announced ...

🎟️ Get your tickets here: https://t.co/dgDPnS2VRo

📰 Read more here: https://t.co/tzQaXNufgf

@flwrlabs

[nic lane @niclane7]

It was a pleasure working with the amazing Kinexys team at @jpmorgan led by Sudhir Upadhyay on this ImageNet-like moonshot for financial AI. More than a year of work -- congrats to Sudhir, his team and collaborators @BNYglobal. Glad that @flwrlabs could act as an enabler for project AIKYA.

[Javier Fernandez @jafermarq]

Join us in #SanFrancisco for a mega day full of #decentralized #Ai and #opensource

[William Lindskog @WilliamLMnz]

in San Fransisco?

@flwrlabs is going to SF this September! Much to be expected so don't miss this! We'll bring announcements and features to you live, cool tech, and amazing speakers and keynotes.

Expect talks from @flwrlabs ' own @daniel_janes & @niclane7 , Joseph Spisak at @Meta , Timothy Chou at @Stanford, and maybe more surprise guests ... 👀

See you there!

[Taner Topal @_tanertopal]

@readswithravi Couldn't agree more. People often forget that perfect is the enemy of good enough.

[Robert Scoble @Scobleizer]

🌸 Just had a 🔥 convo with Daniel Beutel, founder of @flwrlabs — they’re building a new kind of AI: decentralized + federated.

Instead of sending your data to the cloud, Flower runs AI on your device:

⚡️ Faster
🔒 Private
📴 Works offline
🧠 More personalized

It’s like Apple Intelligence — but open source, dev-friendly, and ready for healthcare, finance, and enterprise.

Also, its developer conference is running now and they are live streaming it on its X channel.

Just one of the decentralized AI companies on my list, I'll post that in a reply.