FedLMT: Tackling System Heterogeneity of Federated Learning via Low-Rank Model Training with Theoretical Guarantees

Jiahao Liu; Yipeng Zhou; Di Wu; Miao Hu; Mohsen  Guizani; Quan Z. Sheng

2024 ICML ICML 2024

FedLMT: Tackling System Heterogeneity of Federated Learning via Low-Rank Model Training with Theoretical Guarantees

Abstract

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Authors

Jiahao Liu, Yipeng Zhou, Di Wu, Miao Hu, Mohsen Guizani, Quan Z. Sheng

Topics

Machine Learning > Optimization & Theory > Learning Theory Machine Learning > Application Areas > Efficient Computing Deep Learning > Techniques > Model Architecture

Keywords

convergence guarantee low-rank model communication cost computation cost heterogeneous client personalized resource

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