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cs.CR2024
ACCESS-FL: Agile Communication and Computation for Efficient Secure Aggregation in Stable Federated Learning Networks
Niousha Nazemi, Omid Tavallaie, Shuaijun Chen +5
Federated Learning (FL) is a promising distributed learning framework designed for privacy-aware applications. FL trains models on client devices without sharing the client's data…
cs.CR2024
Boosting Communication Efficiency of Federated Learning's Secure Aggregation
Niousha Nazemi, Omid Tavallaie, Shuaijun Chen +2
Federated Learning (FL) is a decentralized machine learning approach where client devices train models locally and send them to a server that performs aggregation to generate a glo…