| Tighter Theory for Local SGD on Identical and Heterogeneous Data A Khaled, K Mishchenko, P Richtárik AISTATS 2020 (arXiv:1909.04746), 2020 | 164 | 2020 |
| First Analysis of Local GD on Heterogeneous Data A Khaled, K Mishchenko, P Richtárik arXiv preprint arXiv:1909.04715, 2019 | 82 | 2019 |
| Random Reshuffling: Simple Analysis with Vast Improvements K Mishchenko, A Khaled, P Richtárik NeurIPS 2020 (arXiv:2006.05988), 2020 | 37 | 2020 |
| Better Theory for SGD in the Nonconvex World A Khaled, P Richtárik arXiv preprint arXiv:2002.03329, 2020 | 31 | 2020 |
| Unified Analysis of Stochastic Gradient Methods for Composite Convex and Smooth Optimization A Khaled, O Sebbouh, N Loizou, RM Gower, P Richtárik arXiv preprint arXiv:2006.11573, 2020 | 18 | 2020 |
| Gradient Descent with Compressed Iterates A Khaled, P Richtárik arXiv preprint arXiv:1909.04716, 2019 | 16 | 2019 |
| Better Communication Complexity for Local SGD A Khaled, K Mishchenko, P Richtárik arXiv preprint arXiv:1909.04746v1, 2019 | 15 | 2019 |
| Distributed Fixed Point Methods with Compressed Iterates S Chraibi, A Khaled, D Kovalev, P Richtárik, A Salim, M Takáč arXiv preprint arXiv:1912.09925, 2019 | 11 | 2019 |
| Proximal and Federated Random Reshuffling K Mishchenko, A Khaled, P Richtárik arXiv preprint arXiv:2102.06704, 2021 | 9 | 2021 |
| Applying fast matrix multiplication to neural networks A Khaled, AF Atiya, AH Abdel-Gawad Proceedings of the 35th Annual ACM Symposium on Applied Computing, 1034-1037, 2020 | 3 | 2020 |
| FLIX: A Simple and Communication-Efficient Alternative to Local Methods in Federated Learning E Gasanov, A Khaled, S Horváth, P Richtárik AISTATS 2022 (arXiv:2111.11556), 2021 | | 2021 |
Peter RichtarikProfessor, KAUSTVerified email at kaust.edu.sa
