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Fed-ensemble: Improving Generalization through Model Ensembling in Federated Learning., , , и . CoRR, (2021)FedScale: Benchmarking Model and System Performance of Federated Learning., , , и . CoRR, (2021)Enhanced VIP Algorithms for Forwarding, Caching, and Congestion Control in Named Data Networks., , , и . GLOBECOM, стр. 1-7. IEEE, (2016)ModelKeeper: Accelerating DNN Training via Automated Training Warmup., , , и . NSDI, стр. 769-785. USENIX Association, (2023)Genetic Programming-Enabled Prediction for Students Academic Performance in Blended Learning., , , и . ICETC, стр. 297-303. ACM, (2023)Analysis of Performances for Three Massive MIMO Channel Models., , , , и . WCSP, стр. 1-6. IEEE, (2018)Ultra-Massive MIMO Channel Measurements at 5.3 GHz and a General 6G Channel Model., , , , , , , , , и . IEEE Trans. Veh. Technol., 72 (1): 20-34 (2023)Oort: Efficient Federated Learning via Guided Participant Selection., , , и . OSDI, стр. 19-35. USENIX Association, (2021)FedScale: Benchmarking Model and System Performance of Federated Learning at Scale., , , , , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 11814-11827. PMLR, (2022)AdaEmbed: Adaptive Embedding for Large-Scale Recommendation Models., , , , , , , , , и 6 other автор(ы). OSDI, стр. 817-831. USENIX Association, (2023)