CMFL: Mitigating Communication Overhead for Federated Learning L Wang, W Wang, B Li 2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS), 2019 | 535 | 2019 |
Morphling: Fast, near-optimal auto-configuration for cloud-native model serving L Wang, L Yang, Y Yu, W Wang, B Li, X Sun, J He, L Zhang Proceedings of the ACM Symposium on Cloud Computing, 639-653, 2021 | 58 | 2021 |
Metis: Learning to schedule long-running applications in shared container clusters at scale L Wang, Q Weng, W Wang, C Chen, B Li SC20: International Conference for High Performance Computing, Networking …, 2020 | 52 | 2020 |
George: Learning to place long-lived containers in large clusters with operation constraints S Li, L Wang, W Wang, Y Yu, B Li Proceedings of the ACM Symposium on Cloud Computing, 258-272, 2021 | 32 | 2021 |
Unraveling the RTT-fairness problem for BBR: A queueing model Y Tao, J Jiang, S Ma, L Wang, W Wang, B Li 2018 IEEE global communications conference (GLOBECOM), 1-6, 2018 | 26 | 2018 |
Utopia: Near-optimal coflow scheduling with isolation guarantee L Wang, W Wang, B Li IEEE INFOCOM 2018-IEEE Conference on Computer Communications, 891-899, 2018 | 24 | 2018 |
Fair coflow scheduling without prior knowledge L Wang, W Wang 2018 IEEE 38th International Conference on Distributed Computing Systems …, 2018 | 22 | 2018 |
Towards Online Checkpointing Mechanism for Cloud Transient Servers L Wang, W Wang, B Li GLOBECOM 2017-2017 IEEE Global Communications Conference, 1-6, 2017 | 2 | 2017 |