| Decentralized proximal gradient algorithms with linear convergence rates SA Alghunaim, EK Ryu, K Yuan, AH Sayed IEEE Transactions on Automatic Control 66 (6), 2787-2794, 2020 | 127 | 2020 |
| A linearly convergent proximal gradient algorithm for decentralized optimization S Alghunaim, K Yuan, AH Sayed Advances in Neural Information Processing Systems 32, 2019 | 75 | 2019 |
| Linear convergence of primal–dual gradient methods and their performance in distributed optimization SA Alghunaim, AH Sayed Automatica 117, 109003, 2020 | 57 | 2020 |
| 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 | 55 | 2020 |
| Distributed coupled multiagent stochastic optimization SA Alghunaim, AH Sayed IEEE Transactions on Automatic Control 65 (1), 175-190, 2019 | 51 | 2019 |
| A unified and refined convergence analysis for non-convex decentralized learning SA Alghunaim, K Yuan IEEE Transactions on Signal Processing 70, 3264-3279, 2022 | 49 | 2022 |
| A proximal diffusion strategy for multiagent optimization with sparse affine constraints SA Alghunaim, K Yuan, AH Sayed IEEE Transactions on Automatic Control 65 (11), 4554-4567, 2019 | 49 | 2019 |
| Removing data heterogeneity influence enhances network topology dependence of decentralized sgd K Yuan, SA Alghunaim, X Huang Journal of Machine Learning Research 24 (280), 1-53, 2023 | 32 | 2023 |
| Dual coupled diffusion for distributed optimization with affine constraints SA Alghunaim, K Yuan, AH Sayed 2018 IEEE Conference on Decision and Control (CDC), 829-834, 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 |
| On the performance of gradient tracking with local updates EDH Nguyen, SA Alghunaim, K Yuan, CA Uribe 2023 62nd IEEE Conference on Decision and Control (CDC), 4309-4313, 2023 | 14 | 2023 |
| Dual consensus proximal algorithm for multi-agent sharing problems SA Alghunaim, Q Lyu, M Yan, AH Sayed IEEE Transactions on Signal Processing 69, 5568-5579, 2021 | 14 | 2021 |
| Decentralized exact coupled optimization SA Alghunaim, K Yuan, AH Sayed 2017 55th Annual Allerton Conference on Communication, Control, and …, 2017 | 9 | 2017 |
| Local exact-diffusion for decentralized optimization and learning SA Alghunaim IEEE Transactions on Automatic Control, 2024 | 8 | 2024 |
| A multi-agent primal-dual strategy for composite optimization over distributed features SA Alghunaim, M Yan, AH Sayed 2020 28th European Signal Processing Conference (EUSIPCO), 2095-2099, 2021 | 7 | 2021 |
| Team policy learning for multi-agent reinforcement learning L Cassano, SA Alghunaim, AH Sayed ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 7 | 2019 |
| Diffusion LMS filter for distributed estimation of systems with stochastic state transition and observation matrices JY Ishihara, SA Alghunaim 2017 American Control Conference (ACC), 5199-5204, 2017 | 6 | 2017 |
| An enhanced gradient-tracking bound for distributed online stochastic convex optimization SA Alghunaim, K Yuan Signal Processing 217, 109345, 2024 | 5 | 2024 |
| Distributed coupled learning over adaptive networks SA Alghunaim, AH Sayed 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 5 | 2018 |
| Revisiting Decentralized ProxSkip: Achieving Linear Speedup L Guo, SA Alghunaim, K Yuan, L Condat, J Cao arXiv preprint arXiv:2310.07983, 2023 | 2* | 2023 |
Ali H SayedDean of Engineering, EPFL, SwitzerlandBestätigte E-Mail-Adresse bei epfl.ch
