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Advances and Open Problems in Federated Learning., , , , , , , , , and 48 other author(s). CoRR, (2019)Advances and Open Problems in Federated Learning., , , , , , , , , and 49 other author(s). Found. Trends Mach. Learn., 14 (1-2): 1-210 (2021)Local Adaptivity in Federated Learning: Convergence and Consistency., , , , , and . CoRR, (2021)Observer-driven texture analysis in CT imaging., , and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 11316 of SPIE Proceedings, page 1131610. SPIE, (2020)Federated Automatic Differentiation., , and . CoRR, (2023)Leveraging Function Space Aggregation for Federated Learning at Scale., , , , and . CoRR, (2023)Does Federated Dropout actually work?, , , and . CVPR Workshops, page 3386-3394. IEEE, (2022)Adaptive Federated Optimization., , , , , , , and . CoRR, (2020)Federated Reconstruction: Partially Local Federated Learning., , , , , and . NeurIPS, page 11220-11232. (2021)FAX: Scalable and Differentiable Federated Primitives in JAX., , and . CoRR, (2024)