GradMA: A Gradient-Memory-based Accelerated Federated Learning with Alleviated Catastrophic Forgetting-Reference-Cited by-同舟云学术

GradMA: A Gradient-Memory-based Accelerated Federated Learning with Alleviated Catastrophic Forgetting

Published:2023-06 Issue: Volume: Page:
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Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Luo Kangyang¹,Li Xiang¹,Lan Yunshi¹,Gao Ming¹

Affiliation:

1. East China Normal University,Shanghai,China

Publisher

IEEE

Link

Reference46 articles.

1. Multi-level branched regularization for federated learning;kim;International Conference on Machine Learning,0

2. A hybrid variance-reduced method for decentralized stochastic non-convex optimization;xin;ICML,0

3. Scaffold: Stochastic controlled averaging for fed-erated learning;karimireddy;ICML,0

4. Asynchronous federated optimization;xie;ArXiv Preprint,2019

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