arXiv (OAI Expanded)
open access
Privacy Preserving Gossip Learning
We propose a decentralized privacy-preserving learning algorithm in which each agent holds a single private sample and a shared model. Samples are learned sequentially, and each update must preserve the endpoint mappings at previously learned samples while protecting private data. This gives each ag
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