| Communication compression for decentralized training H Tang, S Gan, C Zhang, T Zhang, J Liu NeurIPS 2018, 2018 | 235 | 2018 |
| Towards Demystifying Serverless Machine Learning Training J Jiang*, S Gan*, Y Liu, F Wang, G Alonso, A Klimovic, A Singla, W Wu, ... SIGMOD 2021, 2021 | 63 | 2021 |
| 1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed H Tang, S Gan, AA Awan, S Rajbhandari, C Li, X Lian, J Liu, C Zhang, ... ICML 2021, 2021 | 33 | 2021 |
| Ease. ML: A Lifecycle Management System for Machine Learning L Aguilar Melgar, D Dao, S Gan, NM Gürel, N Hollenstein, J Jiang, ... CIDR 2021, 2021 | 17* | 2021 |
| Bagua: Scaling up Distributed Learning with System Relaxations S Gan, X Lian, R Wang, J Chang, C Liu, H Shi, S Zhang, X Li, T Sun, ... VLDB 2022, 2022 | 14 | 2022 |
| Fruda: Framework for distributed adversarial domain adaptation S Gan, A Mathur, A Isopoussu, F Kawsar, N Berthouze, ND Lane IEEE Transactions on Parallel and Distributed Systems 33 (11), 3153-3164, 2021 | 5 | 2021 |
| Few-shot Named Entity Recognition with Entity-level Prototypical Network Enhanced by Dispersedly Distributed Prototypes B Ji, S Li, S Gan, J Yu, J Ma, H Liu arXiv preprint arXiv:2208.08023, 2022 | 2 | 2022 |
| Erpc: An edge-resources based framework to reduce bandwidth cost in the personal cloud S Gan, J Yu, X Li, J Ma, L Luo, Q Wu, S Li Web-Age Information Management: 17th International Conference, WAIM 2016 …, 2016 | 2 | 2016 |
| In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle L Xu, S Qiu, B Yuan, J Jiang, C Renggli, S Gan, K Kara, G Li, J Liu, W Wu, ... SIGMOD 2022, 2022 | 1 | 2022 |
| A novel optimization scheme for caching in locality-aware P2P networks S Gan, J Zhang, J Yu, X Li, J Ma, L Luo, Q Wu 2016 IEEE Symposium on Computers and Communication (ISCC), 1024-1031, 2016 | 1 | 2016 |
| Stochastic Gradient Descent without Full Data Shuffle L Xu, S Qiu, B Yuan, J Jiang, C Renggli, S Gan, K Kara, G Li, J Liu, W Wu, ... arXiv preprint arXiv:2206.05830, 2022 | | 2022 |
| A System Study of Communication-Efficient Distributed Machine Learning S Gan ETH Zurich, 2021 | | 2021 |
| Distributed Asynchronous Domain Adaptation: Towards Making Domain Adaptation More Practical in Real-World Systems S Gan*, A Mathur*, A Isopoussu, N Berthouze, ND Lane, F Kawsar NeurIPS 2019 SysML Workshop, 2019 | | 2019 |
| Multi-Step Decentralized Domain Adaptation A Mathur, S Gan, A Isopoussu, F Kawsar, N Berthouze, ND Lane | | |
Ce ZhangETH ZurichПотвърден имейл адрес: inf.ethz.ch
