Projection-Based Federated Learning on Compact Submanifolds with Geometry-Independent Differential Privacy
arXiv:2610.33712v1 Announce Type: new Abstract: Federated learning trains a shared model across clients without exchanging their data, yet the updates they transmit still leak information about individual records. Enforcing differential privacy is harder still when the model parameters lie on a Rie…
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- 2026-10-27 04:00 · arXiv stat.ML
Projection-Based Federated Learning on Compact Submanifolds with Geometry-Independent Differential Privacy