| Natural compression for distributed deep learning S Horvóth, CY Ho, L Horvath, AN Sahu, M Canini, P Richtárik Mathematical and Scientific Machine Learning, 129-141, 2022 | 182 | 2022 |
| Efficient sparse collective communication and its application to accelerate distributed deep learning J Fei, CY Ho, AN Sahu, M Canini, A Sapio Proceedings of the 2021 ACM SIGCOMM 2021 Conference, 676-691, 2021 | 102 | 2021 |
| On the discrepancy between the theoretical analysis and practical implementations of compressed communication for distributed deep learning A Dutta, EH Bergou, AM Abdelmoniem, CY Ho, AN Sahu, M Canini, ... Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3817-3824, 2020 | 100 | 2020 |
| Refl: Resource-efficient federated learning AM Abdelmoniem, AN Sahu, M Canini, SA Fahmy Proceedings of the Eighteenth European Conference on Computer Systems, 215-232, 2023 | 75 | 2023 |
| Rethinking gradient sparsification as total error minimization A Sahu, A Dutta, A M Abdelmoniem, T Banerjee, M Canini, P Kalnis Advances in Neural Information Processing Systems 34, 8133-8146, 2021 | 64 | 2021 |
| Resource-efficient federated learning MA Ahmed, AN Sahu, M Canini, SA Fahmy arXiv preprint arXiv:2111.01108, 2021 | 5 | 2021 |
| On the convergence analysis of asynchronous SGD for solving consistent linear systems AN Sahu, A Dutta, A Tiwari, P Richtárik Linear Algebra and its Applications 663, 1-31, 2023 | 4 | 2023 |
| Rethinking gradient sparsification as total error minimization A Narayan Sahu, A Dutta, AM Abdelmoniem, T Banerjee, M Canini, ... arXiv e-prints, arXiv: 2108.00951, 2021 | | 2021 |
| Published work in the proceedings of AAAI 2020 The Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep … CY Ho, AN Sahu, M Canini, P Kalnis | | 2020 |
| On the Convergence Analysis of Asynchronous SGD for Solving Consistent Linear Systems A Narayan Sahu, A Dutta, A Tiwari, P Richtárik arXiv e-prints, arXiv: 2004.02163, 2020 | | 2020 |
| On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning CY Ho, AN Sahu, M Canini, P Kalnis | | 2020 |
| sands-lab/layer-wise-aaai20: Code repository for AAAI'20 paper: On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication … A Dutta, EH Bergou, AM Abdelmoniem, CY Ho, AN Sahu, M Canini, ... Github, 2019 | | 2019 |
| IntML: Natural Compression for Distributed Deep Learning S Horváth, CY Ho, L Horváth, AN Sahu, M Canini, P Richtárik Training 1 (2), 3, 0 | | |
