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FedFN: Feature Normalization for Alleviating Data Heterogeneity Problem in Federated Learning.

, , , and . CoRR, (2023)

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Preservation of the Global Knowledge by Not-True Self Knowledge Distillation in Federated Learning., , , and . CoRR, (2021)MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy., , , and . Cell Segmentation Challenge @ NeurIPS, volume 212 of Proceedings of Machine Learning Research, page 1-16. PMLR, (2022)SIPA: A Simple Framework for Efficient Networks., , , and . ICDM (Workshops), page 729-736. IEEE, (2020)Self-Contrastive Learning., , , , , and . CoRR, (2021)The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions., , , , , , , , , and 29 other author(s). CoRR, (2023)FEWER: Federated Weight Recovery., , , , and . DistributedML@CoNEXT, page 1-6. ACM, (2020)Distort, Distract, Decode: Instruction-Tuned Model Can Refine its Response from Noisy Instructions., , , and . CoRR, (2023)FedFN: Feature Normalization for Alleviating Data Heterogeneity Problem in Federated Learning., , , and . CoRR, (2023)Self-Contrastive Learning: Single-Viewed Supervised Contrastive Framework Using Sub-network., , , , , and . AAAI, page 197-205. AAAI Press, (2023)Preservation of the Global Knowledge by Not-True Distillation in Federated Learning., , , , and . NeurIPS, (2022)