| Exact diffusion for distributed optimization and learning—Part I: Algorithm development K Yuan, B Ying, X Zhao, AH Sayed IEEE Transactions on Signal Processing 67 (3), 708-723, 2018 | 242 | 2018 |
| Exact diffusion for distributed optimization and learning—Part II: Convergence analysis K Yuan, B Ying, X Zhao, AH Sayed IEEE Transactions on Signal Processing 67 (3), 724-739, 2018 | 96 | 2018 |
| Quantum error correction below the surface code threshold R Acharya, L Aghababaie-Beni, I Aleiner, TI Andersen, M Ansmann, ... arXiv preprint arXiv:2408.13687, 2024 | 79 | 2024 |
| Exponential graph is provably efficient for decentralized deep training B Ying, K Yuan, Y Chen, H Hu, P Pan, W Yin Advances in Neural Information Processing Systems 34, 13975-13987, 2021 | 78 | 2021 |
| Variance-reduced stochastic learning by networked agents under random reshuffling K Yuan, B Ying, J Liu, AH Sayed IEEE Transactions on Signal Processing 67 (2), 351-366, 2018 | 74 | 2018 |
| Social learning over weakly connected graphs H Salami, B Ying, AH Sayed IEEE Transactions on Signal and Information Processing over Networks 3 (2 …, 2017 | 70 | 2017 |
| On the influence of momentum acceleration on online learning K Yuan, B Ying, AH Sayed Journal of Machine Learning Research 17 (192), 1-66, 2016 | 66 | 2016 |
| On the influence of bias-correction on distributed stochastic optimization K Yuan, SA Alghunaim, B Ying, AH Sayed IEEE Transactions on Signal Processing 68, 4352-4367, 2020 | 59 | 2020 |
| Supervised learning under distributed features B Ying, K Yuan, AH Sayed IEEE Transactions on Signal Processing 67 (4), 977-992, 2018 | 56 | 2018 |
| Variance-reduced stochastic learning under random reshuffling B Ying, K Yuan, AH Sayed IEEE Transactions on Signal Processing 68, 1390-1408, 2020 | 42 | 2020 |
| Stochastic gradient descent with finite samples sizes K Yuan, B Ying, S Vlaski, AH Sayed 2016 IEEE 26th International Workshop on Machine Learning for Signal …, 2016 | 41 | 2016 |
| Stochastic learning under random reshuffling with constant step-sizes B Ying, K Yuan, S Vlaski, AH Sayed IEEE Transactions on Signal Processing 67 (2), 474-489, 2018 | 40 | 2018 |
| Information exchange and learning dynamics over weakly connected adaptive networks B Ying, AH Sayed IEEE Transactions on information Theory 62 (3), 1396-1414, 2016 | 27 | 2016 |
| Performance limits of stochastic sub-gradient learning, Part I: Single agent case B Ying, AH Sayed Signal Processing 144, 271-282, 2018 | 26 | 2018 |
| Bluefog: Make decentralized algorithms practical for optimization and deep learning B Ying, K Yuan, H Hu, Y Chen, W Yin arXiv preprint arXiv:2111.04287, 2021 | 25 | 2021 |
| Convergence of variance-reduced stochastic learning under random reshuffling B Ying, K Yuan, AH Sayed arXiv preprint arXiv:1708.01383 2 (3), 6, 2017 | 20 | 2017 |
| Resisting high-energy impact events through gap engineering in superconducting qubit arrays M McEwen, KC Miao, J Atalaya, A Bilmes, A Crook, J Bovaird, ... Physical Review Letters 133 (24), 240601, 2024 | 19 | 2024 |
| Coordinate-descent diffusion learning by networked agents C Wang, Y Zhang, B Ying, AH Sayed IEEE Transactions on Signal Processing 66 (2), 352-367, 2017 | 19 | 2017 |
| Convergence of variance-reduced learning under random reshuffling B Ying, K Yuan, AH Sayed 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 16 | 2018 |
| On the performance of exact diffusion over adaptive networks K Yuan, SA Alghunaim, B Ying, AH Sayed 2019 IEEE 58th Conference on Decision and Control (CDC), 4898-4903, 2019 | 15 | 2019 |
Ali H SayedDean of Engineering, EPFL, SwitzerlandEmail verificata su epfl.ch