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 | 760 | 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 | 379 | 2015 |
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 | 197 | 2015 |
Distributed Machine Learning with a Serverless Architecture H Wang, D Niu, B Li IEEE International Conference on Computer Communications (INFOCOM), 2019 | 155 | 2019 |
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 | 104 | 2015 |
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 | 90 | 2017 |
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 | 70 | 2023 |
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 | 41 | 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 | 39 | 2021 |
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 | 38 | 2021 |
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 | 28* | 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 | 28* | 2022 |
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 | 25 | 2015 |
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 |
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 |
Towards comprehensive traffic forecasting in cloud computing: Design and application Y Peng, K Chen, G Wang, W Bai, Y Zhao, H Wang, Y Geng, Z Ma, L Gu IEEE/ACM Transactions on Networking 24 (4), 2210-2222, 2015 | 16 | 2015 |
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 | 15 | 2023 |
Robust searching-based gradient collaborative management in intelligent transportation system H Shi, H Wang, R Ma, Y Hua, T Song, H Gao, H Guan ACM Transactions on Multimedia Computing, Communications and Applications 20 …, 2023 | 14 | 2023 |
Dynamic and Decentralized Global Analytics via Machine Learning H Wang, D Niu, B Li Proceedings of the ACM Symposium on Cloud Computing, 14-25, 2018 | 14 | 2018 |
Improving bayesian neural networks by adversarial sampling J Zhang, Y Hua, T Song, H Wang, Z Xue, R Ma, H Guan Proceedings of the AAAI Conference on Artificial Intelligence 36 (9), 10110 …, 2022 | 13 | 2022 |