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Advances and Open Problems in Federated Learning.

, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , и . Found. Trends Mach. Learn., 14 (1-2): 1-210 (2021)

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Zachary Dotscheff

Zachary Evenson

Zachary Hayes

Zachary Taylor

Garrett Greenan

 

Другие публикации лиц с тем же именем

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