Cambridge ML Systems Lab
@CaMLSys
Machine Learning Systems lab (http://mlsys.cst.cam.ac.uk) at the University of Cambridge lead by Prof. Nic Lane (@niclane7)
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Great to be representing @flwrlabs @italiantechweek in Turin. So many discussion about federated and privacy in AI. So many Flower users. Change is her. Ping me to meet.
idk where the complaints about gpt5 come from, it's pretty good
Our next talk in the @CaMLSys Seminar Series is this Monday. Join us at 11am Aug 4th to hear from Salma Kharrat -- @KAUST, who will give a talk on ML under various forms of constraints -- including examples such as federatations and LLMs. "Learning Under Constraints: From…
Catch this podcast with @niclane7 of CaMLSys, especially watch out for the discussion of large-scale decentralized training of LLMs pioneered in our lab with the Photon system -- jointly developed with @flwrlabs. buzzsprout.com/2417792/episod…
This week, we are delighted to host Max Ryabinin (@m_ryabinin) of @togethercompute who will be speaking at the Cambridge ML Systems Seminar Series. His talk is at 3pm June 18th, LT1 @Cambridge_CL
A huge thank you @SPRIND 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.
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.
Flower Labs Social @MLSysConf 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…
Photon: A New SOTA for Decentralized LLM pre-training at @MLSysConf 2025. Poster today; talk on Thursday. @lorenzosani97 converting one person at a time to the merits of federated everywhere for everything. Paper: arxiv.org/abs/2411.02908
Thanks to everyone who joined online and in person for the fantastic talk by @Jamie_Shotton from @wayve_ai!
Join us for the next Cambridge ML Systems Seminar: @Jamie_Shotton, Chief Scientist at @wayve_ai who give his talk: "Frontiers in Embodied AI for Autonomous Driving" on Friday May 2nd at the @Cambridge_CL in LT1. See you all then!
Lots of interest in SparsyFed @iclr_conf. 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: @AdrianoGuastel1, @lorenzosani97, @Alex__Iacob, Alessio Mora, Paolo Bellavista
🚀 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…
Join us for the next Cambridge ML Systems Seminar: Alexander Hägele (@EPFL) on "Learning Rate Schedules, Scaling Laws, and Techniques for Pretraining LLMs" 📍 @Cambridge_CL, FW26 🕒 Tue 08 April, 14:00–15:00 Featuring new results from his recent NeurIPS spotlight.
If you are out there auditing AI systems for compliance with AI regulations, please ping me or @billymarino -- we'd love to chat as part of our research into computational compliance being done @CaMLSys. Such discussions would inform an upcoming research paper for which we are…
📣 Today, Nicholas Lane (@niclane7), 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 (@LourdesAgapito), Professor at University College London (@ucl),…
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