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papersSEP 10 04:00 UTC

Researchers propose information-theoretically secure aggregation for lightweight federated learning

A new arXiv paper introduces an information-theoretically secure aggregation scheme aimed at federated learning on resource-constrained devices such as smartphones and IoT nodes. The method builds on sign-based gradient compression to keep communication costs low while staying robust to participant dropouts and adversarial behavior.

arXiv federated learning gradient-compression information-theoretic-security lightweight-federated-learning secure-aggregation

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arXiv cs.LGInformation-Theoretically Secure Aggregation for Lightweight Federated Learning: Resilient to Dropouts and Adversaries ↗SEP 10 04:00 UTC