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Progressive-Resolution Secure Aggregation for Federated Learning
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Seyed Mohammad Azimi-Abarghouyi

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ResearcharXiv cs.LG

Progressive-Resolution Secure Aggregation for Federated Learning

arXiv:2610.00695v1 Announce Type: cross Abstract: Secure aggregation lets a server recover an aggregate of client updates without observing any individual update, but conventional protocols fix the aggregate precision when clients upload. We introduce and formulate a new progressive-resolution secure-aggregation functionality in which clients upload once and successively finer resolutions of the same aggregate can later be authorized without renewed client participation. To realize this functionality, we propose progressive-resolution secure aggregation (PSA): each clipped, dithered update is represented by compatible nested-lattice digits; separately releasable layers are protected by secure aggregation and an additional aggregate pad that remains unavailable to the server until a non-colluding release controller authorizes that layer.

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This story was published by arXiv cs.LG and written by Seyed Mohammad Azimi-Abarghouyi. SyncAI.news shows a preview; the complete article is on the publisher's site.

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