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TornadoAggregate: Accurate and Scalable Federated Learning via the Ring-Based Architecture.

, , , , и . CoRR, (2020)

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A Feasibility Study of Smartphone-Based Telesonography for Evaluating Cardiac Dynamic Function and Diagnosing Acute Appendicitis with Control of the Image Quality of the Transmitted Videos., , , , , и . J. Digital Imaging, 29 (3): 347-356 (2016)Accurate and Fast Federated Learning via IID and Communication-Aware Grouping., , , , и . CoRR, (2020)BOIL: Towards Representation Change for Few-shot Learning., , , и . ICLR, OpenReview.net, (2021)FedBABU: Toward Enhanced Representation for Federated Image Classification., , и . ICLR, OpenReview.net, (2022)Spectrogram-channels u-net: a source separation model viewing each channel as the spectrogram of each source., , и . CoRR, (2018)TornadoAggregate: Accurate and Scalable Federated Learning via the Ring-Based Architecture., , , , и . CoRR, (2020)ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning., , , , , и . CIKM, стр. 4359-4363. ACM, (2022)Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation., , , , и . IJCAI, стр. 2628-2635. ijcai.org, (2021)A pipelined hybrid recommender system for ranking the items on the display., , , , и . RecSys Challenge, стр. 9:1-9:5. ACM, (2019)FedFN: Feature Normalization for Alleviating Data Heterogeneity Problem in Federated Learning., , , и . CoRR, (2023)