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arXiv Machine Learning By T-H. Hubert Chan, Elaine Shi, Mengshi Zhao, Mingxun Zhou

Continual Learning With Participation Privacy: An Auditable Buffering-Aggregation Recipe

Read the original on arXiv Machine Learning →

arXiv:2607. 07209v1 Announce Type: cross Abstract: Modern federated and streaming learning systems often release intermediate models, so privacy must hold for the full trajectory under adaptive interaction.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

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