arxiv
PublishedOctober 5, 2026 at 4:00 AM
A Path Integral Surrogate for Multi-Step Gradient Inversion in Federated Learning
Publisher summary· verbatim
arXiv:2610.03597v1 Announce Type: new Abstract: Federated learning lets many clients train a shared model together without ever sending their private data to a central server. Each client shares only a model update, and this update should reveal far less about the client than its raw training exampl
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Originally published on arxiv ↗