arXiv Machine Learning October 3, 2026 By Seyed Mohammad Azimi-Abarghouyi

Progressive-Resolution Secure Aggregation for Federated Learning

Read the original on arXiv Machine Learning →

The paper introduces Progressive-Resolution Secure Aggregation (PSA) for federated learning, enabling clients to upload updates once while allowing progressively finer aggregate resolutions to be authorized later without further client participation. PSA represents each clipped, dithered update using nested-lattice digits, with each layer protected by secure aggregation and an additional aggregate pad that is released only upon authorization by a non‑colluding release controller.

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