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Federated Multi-Mini-Batch: An Efficient Training Approach to Federated Learning in Non-IID Environments., , , , , , and . CoRR, (2020)Privacy-preserving Artificial Intelligence Techniques in Biomedicine., , , , , , , , , and 15 other author(s). CoRR, (2020)HyFed: A Hybrid Federated Framework for Privacy-preserving Machine Learning., , , , , and . CoRR, (2021)Kernel Normalized Convolutional Networks., , , and . CoRR, (2022)On the Privacy of Federated Pipelines., , , and . SIGIR, page 1975-1979. ACM, (2021)DP-CGAN: Differentially Private Synthetic Data and Label Generation., , and . CoRR, (2020)The FeatureCloud AI Store for Federated Learning in Biomedicine and Beyond., , , , , , , , , and 22 other author(s). CoRR, (2021)Label Noise-Robust Learning using a Confidence-Based Sieving Strategy., , , and . CoRR, (2022)DP-CGAN: Differentially Private Synthetic Data and Label Generation., , and . CVPR Workshops, page 98-104. Computer Vision Foundation / IEEE, (2019)