FedAlign
Data heterogeneity solver
A federated learning framework designed to mitigate data heterogeneity in distributed learning settings.
Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]
55 stars
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13 forks
Language: Python
last commit: about 2 years ago Related projects:
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litian96/ditto | A framework for personalized federated learning to balance fairness and robustness in decentralized machine learning systems. | 137 |
bytedance/feddecorr | Provides an implementation of various heterogeneous federated learning methods and datasets to mitigate dimensional collapse in distributed machine learning | 63 |
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