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We're excited to announce that Ittai Dayan (Ittai Dayan MD), co-founder and CEO of Rhino Federated Computing (formerly Rhino Health), will be speaking at the Flower AI Summit 2025! 🏥 Rhino (Rhino Health) has been a leader in advancing the adoption of federated methods --

The real challenge of a PhD defense is to get five academics to agree that they will show up in the same room at the same time.

New paper from Cambridge ML Systems Lab: Can machine unlearning enable AI Act compliance? We map applications and technical gaps, providing the first catalogue of use cases. Bill Marino, Meghdad Kurmanji & nic lane w/ Google AI GARA support: arxiv.org/abs/2502.12430

It is possible to detect IP infringement within FM/LLM training data. One takeaway of many from yesterday's talk by teresa lv; head of visual FMs and private-ml for @sony research. It was an honor for us to host her visit Cambridge ML Systems Lab. Check out her work that shows how a SOTA

📣 Today, Nicholas Lane (nic lane), co-founder and CSO of Flower Labs, will participate in the Future of Generative AI panel at The Genenerative AI Hub launch in London. Joining him on stage are Lourdes Agapito (Lourdes Agapito), Professor at University College London (UCL),

If you are out there auditing AI systems for compliance with AI regulations, please ping me or Bill Marino -- we'd love to chat as part of our research into computational compliance being done Cambridge ML Systems Lab. Such discussions would inform an upcoming research paper for which we are

Popularity of Flower is getting a bit out of hand in Cambridge

Join us for the next Cambridge ML Systems Seminar: Alexander Hägele (EPFL) on "Learning Rate Schedules, Scaling Laws, and Techniques for Pretraining LLMs" 📍 Cambridge Computer Science, FW26 🕒 Tue 08 April, 14:00–15:00 Featuring new results from his recent NeurIPS spotlight.

🚀 DEPT: A New Breakthrough in LLM Embeddings for Decentralized AI We're thrilled to share that Decoupled Embeddings for Pre-training (DEPT) will be presented as an ICLR 2025 Oral in Singapore on Saturday, April 26! 💪🏼 DEPT introduces a new approach for embeddings used in LLM

Lots of interest in SparsyFed ICLR 2026. Big step forward in practical use of sparsity for federated training. High sparsity w/out heavy hyperparameter tuning arxiv.org/abs/2504.05153 Fantastic team: Adriano Guastella, Lorenzo Sani, Alex Iacob, Alessio Mora, Paolo Bellavista

Join us for the next Cambridge ML Systems Seminar: Jamie Shotton, Chief Scientist at Wayve who give his talk: "Frontiers in Embodied AI for Autonomous Driving" on Friday May 2nd at the Cambridge Computer Science in LT1. See you all then!

Thanks to everyone who joined online and in person for the fantastic talk by Jamie Shotton from Wayve!

Photon: A New SOTA for Decentralized LLM pre-training at MLSys Conference 2025. Poster today; talk on Thursday. Lorenzo Sani converting one person at a time to the merits of federated everywhere for everything. Paper: arxiv.org/abs/2411.02908

Flower Labs Social MLSys Conference 2025 Join us for food, drinks, games, swag, and a quick look at our new open-source tools — including Photon, our SOTA system for decentralized foundation model pretraining. 🍕🎮🌸 📍 5 mins drive from MLSys venue 🕢 Starts 7:30 PM | All are

Tomorrow join us for the latest edition of the Cambridge ML Systems Seminar Series. We are delighted to be joined by Rosco Hunter who will present "Building Oranizational Resilience with AI Malfunction Drills". See you tomorrow, May 20th at 3.30pm at FW26 in the Computer Lab.

A huge thank you SPRIND, Federal Agency for Breakthrough Innovation for hosting the Composite Challenge mentor days recently. Looking forward big decentralized training runs in the coming months, and helping to expand participation in AI more broadly.

This week, we are delighted to host Max Ryabinin (Max Ryabinin) of Together AI who will be speaking at the Cambridge ML Systems Seminar Series. His talk is at 3pm June 18th, LT1 Cambridge Computer Science