Efficient and less centralized federated learning L Chou, Z Liu, Z Wang, A Shrivastava Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021 | 8 | 2021 |
Delay-energy joint optimization for task offloading in mobile edge computing Z Wang, W Liang, M Huang, Y Ma arXiv preprint arXiv:1804.10416, 2018 | 8 | 2018 |
A novel approach for all-to-all routing in all-optical hypersquare torus network Z Wang, K Liu, L Li, W Chen, M Chen, L Zhang Proceedings of the ACM International Conference on Computing Frontiers, 250-258, 2016 | 6 | 2016 |
Shufflecast: An optical, data-rate agnostic, and low-power multicast architecture for next-generation compute clusters S Das, A Rahbar, XC Wu, Z Wang, W Wang, A Chen, TSE Ng IEEE/ACM Transactions on Networking 30 (5), 1970-1985, 2022 | 4 | 2022 |
MergeComp: A Compression Scheduler for Scalable Communication-Efficient Distributed Training Z Wang, X Wu, TS Ng arXiv preprint arXiv:2103.15195, 2021 | 2 | 2021 |
Hi-Speed DNN Training with Espresso: Unleashing the Full Potential of Gradient Compression with Near-Optimal Usage Strategies Z Wang, H Lin, Y Zhu, TSE Ng EuroSys '23, Pages 867–882, 2023 | 1 | 2023 |
DRAGONN: Distributed Randomized Approximate Gradients of Neural Networks Z Wang, Z Xu, X Wu, A Shrivastava, TSE Ng International Conference on Machine Learning, 23274-23291, 2022 | 1 | 2022 |
MXDAG: A Hybrid Abstraction for Emerging Applications W Wang, S Das, XC Wu, Z Wang, A Chen, TSE Ng Proceedings of the Twentieth ACM Workshop on Hot Topics in Networks, 221-228, 2021 | 1 | 2021 |
Intra-host Rate Control with Centralized Approach Z Wang, K Liu, Y Shen, JYB Lee, M Chen, L Zhang 2016 IEEE International Conference on Cluster Computing (CLUSTER), 384-387, 2016 | 1 | 2016 |
Adaptive rate control over mobile data networks with heuristic rate compensations K Liu, Z Wang, JYB Lee, M Chen, L Zhang 2016 IEEE/ACM 24th International Symposium on Quality of Service (IWQoS), 1-6, 2016 | 1 | 2016 |