| Batchcrypt: Efficient homomorphic encryption for cross-silo federated learning C Zhang, S Li, J Xia, W Wang, F Yan, Y Liu Proceedings of the 2020 USENIX Annual Technical Conference (USENIX ATC 2020), 2020 | 273 | 2020 |
| CMFL: Mitigating communication overhead for federated learning W Luping, W Wei, LI Bo 2019 IEEE 39th international conference on distributed computing systems …, 2019 | 256 | 2019 |
| Dominant resource fairness in cloud computing systems with heterogeneous servers W Wang, B Li, B Liang IEEE INFOCOM 2014-IEEE Conference on Computer Communications, 583-591, 2014 | 159 | 2014 |
| MArk: Exploiting Cloud Services for Cost-Effective, SLO-Aware Machine Learning Inference Serving. C Zhang, M Yu, W Wang, F Yan USENIX Annual Technical Conference, 1049-1062, 2019 | 146 | 2019 |
| Multi-Resource Fair Allocation in Heterogeneous Cloud Computing Systems W Wang, B Liang, B Li IEEE Transactions on Parallel and Distributed Systems, 2015 | 144 | 2015 |
| Flashe: Additively symmetric homomorphic encryption for cross-silo federated learning Z Jiang, W Wang, Y Liu arXiv preprint arXiv:2109.00675, 2021 | 126 | 2021 |
| Dynamic cloud resource reservation via cloud brokerage W Wang, D Niu, B Li, B Liang 2013 IEEE 33rd International Conference on Distributed Computing Systems …, 2013 | 126 | 2013 |
| Learning to detect malicious clients for robust federated learning S Li, Y Cheng, W Wang, Y Liu, T Chen arXiv preprint arXiv:2002.00211, 2020 | 121 | 2020 |
| Towards optimal capacity segmentation with hybrid cloud pricing W Wang, B Li, B Liang 2012 IEEE 32nd International Conference on Distributed Computing Systems …, 2012 | 93 | 2012 |
| Abnormal client behavior detection in federated learning S Li, Y Cheng, Y Liu, W Wang, T Chen arXiv preprint arXiv:1910.09933, 2019 | 89 | 2019 |
| Revenue maximization with dynamic auctions in IaaS cloud markets W Wang, B Liang, B Li 2013 IEEE/ACM 21st International Symposium on Quality of Service (IWQoS), 1-6, 2013 | 84 | 2013 |
| To reserve or not to reserve: Optimal online multi-instance acquisition in iaas clouds W Wang, B Li, B Liang 10th International Conference on Autonomic Computing ({ICAC} 13), 13-22, 2013 | 79 | 2013 |
| Communication-efficient distributed deep learning: A comprehensive survey Z Tang, S Shi, X Chu, W Wang, B Li arXiv preprint arXiv:2003.06307, 2020 | 58 | 2020 |
| Designing Truthful Spectrum Double Auctions with Local Markets W Wang, B Liang, B Li IEEE Transactions on Mobile Computing 13 (1), 75-88, 2014 | 58 | 2014 |
| LRC: Dependency-aware cache management for data analytics clusters Y Yu, W Wang, J Zhang, KB Letaief IEEE INFOCOM 2017-IEEE Conference on Computer Communications, 1-9, 2017 | 55 | 2017 |
| Round-robin synchronization: Mitigating communication bottlenecks in parameter servers C Chen, W Wang, B Li IEEE INFOCOM 2019-IEEE Conference on Computer Communications, 532-540, 2019 | 54 | 2019 |
| District: Embracing local markets in truthful spectrum double auctions W Wang, B Li, B Liang 2011 8th Annual IEEE Communications Society Conference on Sensor, Mesh and …, 2011 | 46 | 2011 |
| Dynamic cloud instance acquisition via IaaS cloud brokerage W Wang, D Niu, B Liang, B Li IEEE Transactions on Parallel and Distributed Systems 26 (6), 1580-1593, 2014 | 44 | 2014 |
| Coflex: Navigating the fairness-efficiency tradeoff for coflow scheduling W Wang, S Ma, B Li, B Li IEEE INFOCOM 2017-IEEE Conference on Computer Communications, 1-9, 2017 | 42 | 2017 |
| Multi-resource fair sharing for datacenter jobs with placement constraints W Wang, B Li, B Liang, J Li SC'16: Proceedings of the International Conference for High Performance …, 2016 | 42 | 2016 |
Baochun LiProfessor of Electrical and Computer Engineering, University of TorontoVerified email at ece.toronto.edu
