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Escaping Saddle Points in Heterogeneous Federated Learning via Distributed SGD with Communication Compression.

, , and . CoRR, (2023)

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Harnessing Structures in Big Data via Guaranteed Low-Rank Matrix Estimation., and . CoRR, (2018)Provable Non-convex Phase Retrieval with Outliers: Median TruncatedWirtinger Flow., , and . ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 1022-1031. JMLR.org, (2016)Nonconvex Matrix Factorization from Rank-One Measurements., , , and . CoRR, (2018)Nonconvex Matrix Factorization from Rank-One Measurements., , , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 1496-1505. PMLR, (2019)Offline Reinforcement Learning with On-Policy Q-Function Regularization., , , , and . ECML/PKDD (4), volume 14172 of Lecture Notes in Computer Science, page 455-471. Springer, (2023)Deep Unfolded Tensor Robust PCA With Self-Supervised Learning., , , and . ICASSP, page 1-5. IEEE, (2023)Harnessing Sparsity over the Continuum: Atomic Norm Minimization for Super Resolution., and . CoRR, (2019)Provably Accelerating Ill-Conditioned Low-rank Estimation via Scaled Gradient Descent, Even with Overparameterization., , , and . CoRR, (2023)Fast Computation of Optimal Transport via Entropy-Regularized Extragradient Methods., , , , and . CoRR, (2023)Compressive spectrum estimation using quantized measurements., and . ACSSC, page 686-690. IEEE, (2017)