A field guide to federated optimization J Wang, Z Charles, Z Xu, G Joshi, HB McMahan, M Al-Shedivat, G Andrew, ... arXiv preprint arXiv:2107.06917, 2021 | 317 | 2021 |
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout S Horvath, S Laskaridis, M Almeida, I Leontiadis, SI Venieris, ND Lane 35th Conference on Neural Information Processing Systems (NeurIPS 2021), 2021 | 198 | 2021 |
Stochastic Distributed Learning with Gradient Quantization and Variance Reduction S Horvath, D Kovalev, K Mishchenko, SU Stich, P Richtarik Optimization Methods and Software, DOI: 10.1080/10556788.2022.2117355, 2022 | 170* | 2022 |
Lower bounds and optimal algorithms for personalized federated learning F Hanzely, S Hanzely, S Horváth, P Richtárik 34th Conference on Neural Information Processing Systems (NeurIPS 2020), 2020 | 161 | 2020 |
Don't Jump Through Hoops and Remove Those Loops: SVRG and Katyusha are Better Without the Outer Loop D Kovalev, S Horváth, P Richtárik ALT 2020 - Proceedings of the 31st International Conference on Algorithmic …, 2019 | 157 | 2019 |
Natural compression for distributed deep learning S Horváth, CY Ho, L Horvath, AN Sahu, M Canini, P Richtárik 3rd Annual Conference on Mathematical and Scientific Machine Learning (MSML …, 2022 | 155 | 2022 |
On Biased Compression for Distributed Learning A Beznosikov, S Horváth, P Richtárik, M Safaryan Journal of Machine Learning Research 24 (2023), 1--50, 2023 | 145 | 2023 |
Optimal Client Sampling for Federated Learning W Chen, S Horvath, P Richtarik Published in Transactions on Machine Learning Research (TMLR), 2022 | 144 | 2022 |
A Better Alternative to Error Feedback for Communication-Efficient Distributed Learning S Horváth, P Richtárik ICLR 2021 - International Conference on Learning Representations, 2020 | 56 | 2020 |
Nonconvex variance reduced optimization with arbitrary sampling S Horváth, P Richtárik ICML 2019 - Proceedings of the 36th International Conference on Machine Learning, 2018 | 39 | 2018 |
Variance reduction is an antidote to byzantines: Better rates, weaker assumptions and communication compression as a cherry on the top E Gorbunov, S Horváth, P Richtárik, G Gidel ICLR 2023, 2022 | 28 | 2022 |
Adaptivity of Stochastic Gradient Methods for Nonconvex Optimization S Horváth, L Lei, P Richtárik, MI Jordan SIAM Journal on Mathematics of Data Science (SIMODS), 2022 | 25 | 2022 |
High-probability bounds for stochastic optimization and variational inequalities: the case of unbounded variance A Sadiev, M Danilova, E Gorbunov, S Horváth, G Gidel, P Dvurechensky, ... ICML 2023, 2023 | 24 | 2023 |
Convergence of proximal point and extragradient-based methods beyond monotonicity: the case of negative comonotonicity E Gorbunov, A Taylor, S Horváth, G Gidel International Conference on Machine Learning, 11614-11641, 2023 | 21 | 2023 |
Fedshuffle: Recipes for better use of local work in federated learning S Horváth, M Sanjabi, L Xiao, P Richtárik, M Rabbat Published in Transactions on Machine Learning Research (TMLR), 2022 | 21 | 2022 |
Fl_pytorch: optimization research simulator for federated learning K Burlachenko, S Horváth, P Richtárik Proceedings of the 2nd ACM International Workshop on Distributed Machine …, 2021 | 15 | 2021 |
Hyperparameter transfer learning with adaptive complexity S Horváth, A Klein, P Richtárik, C Archambeau International conference on artificial intelligence and statistics, 1378-1386, 2021 | 15 | 2021 |
FLIX: A Simple and Communication-Efficient Alternative to Local Methods in Federated Learning E Gasanov, A Khaled, S Horváth, P Richtárik AISTATS 2022, International Conference on Artificial Intelligence and Statistics, 2021 | 13 | 2021 |
Artificial intelligence-driven design of fuel mixtures N Kuzhagaliyeva, S Horváth, J Williams, A Nicolle, SM Sarathy Communications Chemistry 5 (1), 111, 2022 | 10 | 2022 |
Long-term outcome in patients with takotsubo syndrome: A single center study from Vienna E Pogran, A Abd El-Razek, L Gargiulo, V Weihs, C Kaufmann, S Horváth, ... Wiener klinische Wochenschrift 134 (7), 261-268, 2022 | 10 | 2022 |