FedGreedy-Federated-Learning-System

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Federated Learning (FL) is a collaborative machine learning approach that enables decentralized data processing. Instead of collecting and storing data in a central server, FL trains machine learning models directly on devices or servers where the data resides, enhancing privacy and security.

advanced-client-selection blockchain client-reliability communication-overhead data-heterogeneity decentralized-training federated-learning greedy-selection mobile-devices multi-party-computation

Creat：2024-02-11T10:10:04

Update：2025-03-25T14:57:14

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