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Protocol Learning: Decentralized Collaborative Learning at Scale
Hosted by Pluralis Research
Registration
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About Event
A full-day workshop defining the emerging paradigm of Protocol Learning — decentralized, communication-efficient, model-parallel training of foundation models. Join leading researchers from academia and industry to explore the open problems shaping the future of collaborative AI.
Speakers include:
Prof. Nic Lane (University of Cambridge / Flower Labs)
Dr. Max Ryabnin (Together AI)
Riccardo Patana (Anthropic)
Dr. Alexander Long (Pluralis)
Prof. Namhoon Lee (POSTECH)
Dr. Sameera Ramasinghe (Pluralis)
Dr. Oğuzhan Ersoy (Gensyn)
Dr. Thalaiyasingam Ajanthan (Pluralis)
A detailed schedule will be announced in the coming weeks. Breakfast and lunch will be provided.
Join us!
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