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Optimizing Parameter Mixing under Constrained Communications in Parallel Federated Learning

IEEE-ACM TRANSACTIONS ON NETWORKING(2023)

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Convergence,Adaptation models,Federated learning,Topology,Modeling,Costs,Peer-to-peer computing,Parallel federated learning,optimal mixing times,convergence rate
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