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2021-229 - Secure Aggregation in Federated Learning

Federated learning Healthcare data Financial data Abstract USC researchers have developed LightSecAgg, a novel approach for secure aggregation that guarantees privacy and dropout-resiliency while significantly cutting the overhead for resiliency against dropped users. Utilizing a “one-shot aggregate-mask reconstruction of the active users...