Tagged “federated-learning”
4 posts
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My Ph.D. in three minutes
The dissertation is 278 pages. Here is the short version, a three-minute film in my own voice about learning together without sharing data and predicting when, not just whether.
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HARMONY: reputation for federated survival analysis
Our IEEE JBHI paper HARMONY lets hospitals in a federation judge each other's contributions through a moving reputation score, without ever seeing a peer's real update.
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Back at CHASE, with a harder question
Back at IEEE/ACM CHASE, this time with a sparse peer-to-peer network for federated survival prediction where every connection has to keep earning its place.
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Agents that cannot assume somebody else pays for the compute
PerAgents 2027, co-located with IEEE PerCom, is about agents that run without a large model behind an API, spare context or a network that is always there. The call for papers is open.