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

Jiahao Liu, Yipeng Zhou, Di Wu, Miao Hu, M. Guizani +1 more
2/12/2026

No official code found. Best implementation: Sherrylife/FedLMT (14 stars, MIT, last commit 2024-09-22).

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Code Implementations(1)

Sherrylife/FedLMTCommunity61%
MIT

[ICML2024] "FedLMT: Tackling System Heterogeneity of Federated Learning via Low-Rank Model Training with Theoretical Guarantees" by Jiahao Liu, Yipeng Zhou, Di Wu, Miao Hu, Mohsen Guizani and Quan Z. Sheng

141Shell, PythonMay 11, 20242 years agoMIT

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Cite this paper

@article{liu2026fedlmt,
  title  = {FedLMT: Tackling System Heterogeneity of Federated Learning via Low-Rank Model Training with Theoretical Guarantees},
  author = {Jiahao Liu and Yipeng Zhou and Di Wu and Miao Hu and M. Guizani and Quan Z. Sheng},
  year   = {2026},
  url    = {https://api.semanticscholar.org/CorpusID:98fb7b1cedd9748b68d8baa32985fbc281cf0e7b},
  journal = {ICML 2024 2024}
}

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