ZexiLee / ICML-2023-FedLAW

The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".

Date Created 2023-06-12 (11 months ago)

Commits 11 (last one 9 months ago)

Stargazers 39 (0 this week)

Watchers 3 (0 this week)

Forks 7

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RepositoryStats indexes 523,840 repositories, of these ZexiLee/ICML-2023-FedLAW is ranked #473,457 (10th percentile) for total stargazers, and #394,351 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #89,229/100,813.

ZexiLee/ICML-2023-FedLAW is also tagged with popular topics, for these it's ranked: deep-learning (#7,175/7720), federated-learning (#166/182), distributed-computing (#167/175)

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model-fusion weight-decay deep-learning federated-learning distributed-computing

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11 commits on the default branch (main) since jan '22

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updated: 2024-05-25 @ 03:43am, id: 652519410 / R_kgDOJuSn8g