diaoenmao / HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients

[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients

Date Created 2019-11-23 (5 years ago)
Commits 84 (last one 2 years ago)
Stargazers 165 (1 this week)
Watchers 2 (0 this week)
Forks 36
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RepositoryStats indexes 642,855 repositories, of these diaoenmao/HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients is ranked #219,305 (66th percentile) for total stargazers, and #487,289 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #40,571/132,264.

diaoenmao/HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients is also tagged with popular topics, for these it's ranked: deep-learning (#4,066/8893),  federated-learning (#68/226),  model-compression (#57/110)

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updated: 2025-04-24 @ 07:18pm, id: 223522340 / R_kgDODVKuJA