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May, 2022
高效沟通的自适应联邦学习
Communication-Efficient Adaptive Federated Learning
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Yujia Wang, Lu Lin, Jinghui Chen
TL;DR
本文介绍了一种新的通信高效的自适应联邦学习方法FedCAMS,该方法具有理论收敛保证并在各种基准测试上进行了广泛实验验证。
Abstract
federated learning
is a
machine learning
training paradigm that enables clients to jointly train models without sharing their own localized data. However, the implementation of
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