| Optimizing Federated Learning on Non-IID Data with Reinforcement Learning H Wang, Z Kaplan, D Niu, B Li IEEE International Conference on Computer Communications (INFOCOM), 1698-1707, 2020 | 1029 | 2020 |
| {Information-Agnostic} flow scheduling for commodity data centers W Bai, L Chen, K Chen, D Han, C Tian, H Wang 12th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2015 | 401 | 2015 |
| FedALA: Adaptive Local Aggregation for Personalized Federated Learning J Zhang, Y Hua, H Wang, T Song, Z Xue, R Ma, H Guan In Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI) 2023, 2023 | 225 | 2023 |
| Guaranteeing deadlines for inter-datacenter transfers H Zhang, K Chen, W Bai, D Han, C Tian, H Wang, H Guan, M Zhang Proceedings of the Tenth European Conference on Computer Systems, 1-14, 2015 | 205 | 2015 |
| Distributed Machine Learning with a Serverless Architecture H Wang, D Niu, B Li IEEE International Conference on Computer Communications (INFOCOM), 2019 | 191 | 2019 |
| PIAS: Practical information-agnostic flow scheduling for commodity data centers W Bai, L Chen, K Chen, D Han, C Tian, H Wang IEEE/ACM Transactions on Networking 25 (4), 1954-1967, 2017 | 108 | 2017 |
| Explicit path control in commodity data centers: Design and applications S Hu, K Chen, H Wu, W Bai, C Lan, H Wang, H Zhao, C Guo 12th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2015 | 107 | 2015 |
| Faasrank: Learning to schedule functions in serverless platforms H Yu, AA Irissappane, H Wang, WJ Lloyd 2021 IEEE International Conference on Autonomic Computing and Self …, 2021 | 58 | 2021 |
| Self-supervised vessel segmentation via adversarial learning Y Ma, Y Hua, H Deng, T Song, H Wang, Z Xue, H Cao, R Ma, H Guan Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 58 | 2021 |
| Siren: Byzantine-robust federated learning via proactive alarming H Guo, H Wang, T Song, Y Hua, Z Lv, X Jin, Z Xue, R Ma, H Guan Proceedings of the ACM Symposium on Cloud Computing, 47-60, 2021 | 57 | 2021 |
| Fedcp: Separating feature information for personalized federated learning via conditional policy J Zhang, Y Hua, H Wang, T Song, Z Xue, R Ma, H Guan Proceedings of the 29th ACM SIGKDD conference on knowledge discovery and …, 2023 | 55 | 2023 |
| Seizing critical learning periods in federated learning G Yan, H Wang, J Li Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 8788-8796, 2022 | 51* | 2022 |
| Accelerating serverless computing by harvesting idle resources H Yu, H Wang, J Li, X Yuan, SJ Park Proceedings of the ACM Web Conference 2022, 1741-1751, 2022 | 50* | 2022 |
| Gpfl: Simultaneously learning global and personalized feature information for personalized federated learning J Zhang, Y Hua, H Wang, T Song, Z Xue, R Ma, J Cao, H Guan Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 45 | 2023 |
| Criticalfl: A critical learning periods augmented client selection framework for efficient federated learning G Yan, H Wang, X Yuan, J Li Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 28 | 2023 |
| Eliminating Domain Bias for Federated Learning in Representation Space. J Zhang, Y Hua, J Cao, H Wang, T Song, Z Xue, R Ma, H Guan NeurIPS, 2023 | 26 | 2023 |
| Lube: Mitigating Bottlenecks in Wide Area Data Analytics H Wang, B Li 9th {USENIX} Workshop on Hot Topics in Cloud Computing (HotCloud 17), 2017 | 24 | 2017 |
| FlowProphet: Generic and accurate traffic prediction for data-parallel cluster computing H Wang, L Chen, K Chen, Z Li, Y Zhang, H Guan, Z Qi, D Li, Y Geng 2015 IEEE 35th International Conference on Distributed Computing Systems …, 2015 | 24 | 2015 |
| DeFL: Defending Against Model Poisoning Attacks in Federated Learning via Critical Learning Periods Awareness G Yan, H Wang, X Yuan, J Li In Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI) 2023, 2023 | 22 | 2023 |
| Optimizing shuffle in wide-area data analytics S Liu, H Wang, B Li 2017 IEEE 37th International Conference on Distributed Computing Systems …, 2017 | 21 | 2017 |
Tao SongAssistant Researcher, Shanghai Jiao Tong UniversityEmail được xác minh tại sjtu.edu.cn
