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FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings., , , , , , , , , и 14 other автор(ы). NeurIPS, (2022)Proving Linear Mode Connectivity of Neural Networks via Optimal Transport., , , и . AISTATS, том 238 из Proceedings of Machine Learning Research, стр. 3853-3861. PMLR, (2024)Compression with Exact Error Distribution for Federated Learning., , , и . AISTATS, том 238 из Proceedings of Machine Learning Research, стр. 613-621. PMLR, (2024)Stochastic Approximation Beyond Gradient for Signal Processing and Machine Learning., , , и . IEEE Trans. Signal Process., (2023)On Fundamental Proof Structures in First-Order Optimization., , и . CDC, стр. 3023-3030. IEEE, (2023)Proving Linear Mode Connectivity of Neural Networks via Optimal Transport., , , и . CoRR, (2023)QLSD: Quantised Langevin stochastic dynamics for Bayesian federated learning., , , , и . CoRR, (2021)PEPit: computer-assisted worst-case analyses of first-order optimization methods in Python., , , , , и . Math. Program. Comput., 16 (3): 337-367 (сентября 2024)Debiasing Averaged Stochastic Gradient Descent to handle missing values., , , и . NeurIPS, (2020)Federated-EM with heterogeneity mitigation and variance reduction., , , и . NeurIPS, стр. 29553-29566. (2021)