FedFed: Feature Distillation against Data Heterogeneity in Federated Learning - researchr publication authors

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Zhiqin Yang, Yonggang Zhang, Yu Zheng, Xinmei Tian 0001, Hao Peng, Tongliang Liu, Bo Han 0003. FedFed: Feature Distillation against Data Heterogeneity in Federated Learning. In Alice Oh, Tristan Naumann, Amir Globerson, Kate Saenko, Moritz Hardt, Sergey Levine, editors, Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023. 2023. [doi]

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