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cs.LG2022
FedVeca: Federated Vectorized Averaging on Non-IID Data with Adaptive Bi-directional Global Objective
Ping Luo, Jieren Cheng, Zhenhao Liu +2
Federated Learning (FL) is a distributed machine learning framework to alleviate the data silos, where decentralized clients collaboratively learn a global model without sharing th…
cs.LG2021
A Novel Optimized Asynchronous Federated Learning Framework
Zhicheng Zhou, Hailong Chen, Kunhua Li +8
Federated Learning (FL) since proposed has been applied in many fields, such as credit assessment, medical, etc. Because of the difference in the network or computing resource, the…