| Adaptive federated learning in resource constrained edge computing systems S Wang, T Tuor, T Salonidis, KK Leung, C Makaya, T He, K Chan IEEE Journal on Selected Areas in Communications 37 (6), 1205-1221, 2019 | 1878 | 2019 |
| When edge meets learning: Adaptive control for resource-constrained distributed machine learning S Wang, T Tuor, T Salonidis, KK Leung, C Makaya, T He, K Chan IEEE INFOCOM 2018-IEEE Conference on Computer Communications, 63-71, 2018 | 545 | 2018 |
| A survey on federated learning for resource-constrained IoT devices A Imteaj, U Thakker, S Wang, J Li, MH Amini IEEE Internet of Things Journal 9 (1), 1-24, 2021 | 446 | 2021 |
| Model pruning enables efficient federated learning on edge devices Y Jiang, S Wang, V Valls, BJ Ko, WH Lee, KK Leung, L Tassiulas IEEE Transactions on Neural Networks and Learning Systems, 2023 | 425 | 2023 |
| Dynamic service migration in mobile edge-clouds S Wang, R Urgaonkar, M Zafer, T He, K Chan, KK Leung 2015 IFIP Networking Conference (IFIP Networking), 1-9, 2015 | 346 | 2015 |
| Live service migration in mobile edge clouds A Machen, S Wang, KK Leung, BJ Ko, T Salonidis IEEE Wireless Communications 25 (1), 140-147, 2017 | 311 | 2017 |
| Dynamic service placement for mobile micro-clouds with predicted future costs S Wang, R Urgaonkar, K Chan, T He, M Zafer, KK Leung IEEE Transactions on Parallel and Distributed Systems 28 (4), 1002-1016, 2017 | 311 | 2017 |
| Service Placement and Request Scheduling for Data-Intensive Applications in Edge Clouds V Farhadi, F Mehmeti, T He, TF La Porta, H Khamfroush, S Wang, ... IEEE/ACM Transactions on Networking, 2021 | 291 | 2021 |
| Dynamic service migration and workload scheduling in edge-clouds R Urgaonkar, S Wang, T He, M Zafer, K Chan, KK Leung Performance Evaluation 91, 205-228, 2015 | 288 | 2015 |
| Dynamic Service Migration in Mobile Edge Computing Based on Markov Decision Process S Wang, R Urgaonkar, M Zafer, T He, K Chan, KK Leung IEEE/ACM Transactions on Networking, 2019 | 232 | 2019 |
| It’s Hard to Share: Joint Service Placement and Request Scheduling in Edge Clouds with Sharable and Non-sharable Resources T He, H Khamfroush, S Wang, TL Porta, S Stein IEEE ICDCS 2018, 2018 | 231 | 2018 |
| Online Placement of Multi-Component Applications in Edge Computing Environments S Wang, M Zafer, KK Leung IEEE Access, 2017 | 222 | 2017 |
| Cost-effective federated learning design B Luo, X Li, S Wang, J Huang, L Tassiulas IEEE INFOCOM 2021-IEEE Conference on Computer Communications, 1-10, 2021 | 171 | 2021 |
| Adaptive gradient sparsification for efficient federated learning: An online learning approach P Han, S Wang, KK Leung 2020 IEEE 40th International Conference on Distributed Computing Systems …, 2020 | 165 | 2020 |
| Service placement with provable guarantees in heterogeneous edge computing systems S Pasteris, S Wang, M Herbster, T He IEEE INFOCOM 2019, 2019 | 164 | 2019 |
| Mobility-induced service migration in mobile micro-clouds S Wang, R Urgaonkar, T He, M Zafer, K Chan, KK Leung 2014 IEEE Military Communications Conference, 835-840, 2014 | 155 | 2014 |
| Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling B Luo, W Xiao, S Wang, J Huang, L Tassiulas IEEE International Conference on Computer Communications (INFOCOM), 2022 | 141 | 2022 |
| Overcoming Noisy and Irrelevant Data in Federated Learning T Tuor, S Wang, BJ Ko, C Liu, KK Leung International Conference on Pattern Recognition (ICPR), 2020 | 141* | 2020 |
| Demystifying Why Local Aggregation Helps: Convergence Analysis of Hierarchical SGD J Wang, S Wang, RR Chen, M Ji AAAI Conference on Artificial Intelligence, 2022 | 92* | 2022 |
| Asymptotically optimal algorithm for online reconfiguration of edge-clouds I Hou, T Zhao, S Wang, K Chan Proceedings of the 17th ACM International Symposium on Mobile Ad Hoc …, 2016 | 80 | 2016 |
Kin K. LeungTanaka Chair Professor, Imperial College在 imperial.ac.uk 的电子邮件经过验证
