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Supercharging Federated Learning with Flower and NVIDIA FLARE., , , , , , , , , и 5 other автор(ы). CoRR, (2024)A First Look into the Carbon Footprint of Federated Learning., , , , , , , , и . J. Mach. Learn. Res., (2023)Protea: Client Profiling within Federated Systems using Flower., , , , и . CoRR, (2022)ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity., , , , , и . ICLR, OpenReview.net, (2022)Characterization of the role of collagen network structure and composition in cancer cell migration., , , , , , , , , и . EMBC, стр. 8139-8142. IEEE, (2015)Searching for Winograd-aware Quantized Networks., , , и . MLSys, mlsys.org, (2020)An Empirical study of Binary Neural Networks' Optimisation., , , и . ICLR (Poster), OpenReview.net, (2019)Degree-Quant: Quantization-Aware Training for Graph Neural Networks., , и . ICLR, OpenReview.net, (2021)Quantification of the 3D collagen network geometry in confocal reflection microscopy., , , , , и . ICIP, стр. 1791-1794. IEEE, (2015)Federated Self-supervised Speech Representations: Are We There Yet?, , , , и . INTERSPEECH, стр. 3809-3813. ISCA, (2022)