| Asynchronous federated optimization C Xie, S Koyejo, I Gupta arXiv preprint arXiv:1903.03934, 2019 | 813 | 2019 |
| Zeno: Distributed stochastic gradient descent with suspicion-based fault-tolerance C Xie, S Koyejo, I Gupta International Conference on Machine Learning, 6893-6901, 2019 | 321 | 2019 |
| Generalized byzantine-tolerant sgd C Xie, O Koyejo, I Gupta arXiv preprint arXiv:1802.10116, 2018 | 310 | 2018 |
| Fall of empires: Breaking Byzantine-tolerant SGD by inner product manipulation C Xie, O Koyejo, I Gupta Uncertainty in Artificial Intelligence, 261-270, 2020 | 301 | 2020 |
| Distributed Power-law Graph Computing: Theoretical and Empirical Analysis. C Xie, L Yan, WJ Li, Z Zhang Nips 27, 1673-1681, 2014 | 173 | 2014 |
| Zeno++: Robust fully asynchronous SGD C Xie, S Koyejo, I Gupta International Conference on Machine Learning, 10495-10503, 2020 | 139 | 2020 |
| {MegaScale}: Scaling large language model training to more than 10,000 {GPUs} Z Jiang, H Lin, Y Zhong, Q Huang, Y Chen, Z Zhang, Y Peng, X Li, C Xie, ... 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2024 | 99 | 2024 |
| Wishart mechanism for differentially private principal components analysis W Jiang, C Xie, Z Zhang Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 80 | 2016 |
| Baechi: fast device placement of machine learning graphs B Jeon, L Cai, P Srivastava, J Jiang, X Ke, Y Meng, C Xie, I Gupta Proceedings of the 11th ACM Symposium on Cloud Computing, 416-430, 2020 | 78 | 2020 |
| SLSGD: Secure and efficient distributed on-device machine learning C Xie, O Koyejo, I Gupta Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019 | 67 | 2019 |
| Zeno: Byzantine-suspicious stochastic gradient descent C Xie, O Koyejo, I Gupta arXiv preprint arXiv:1805.10032 24, 2018 | 61 | 2018 |
| Phocas: dimensional byzantine-resilient stochastic gradient descent C Xie, O Koyejo, I Gupta arXiv preprint arXiv:1805.09682, 2018 | 57 | 2018 |
| Local AdaAlter: Communication-efficient stochastic gradient descent with adaptive learning rates C Xie, O Koyejo, I Gupta, H Lin arXiv preprint arXiv:1911.09030, 2019 | 51 | 2019 |
| Cser: Communication-efficient sgd with error reset C Xie, S Zheng, OO Koyejo, I Gupta, M Li, H Lin Advances in Neural Information Processing Systems 33, 2020 | 47 | 2020 |
| Feature extraction and ensemble decision tree classifier in plant failure detection C Xie, D Yang, Y Huang, D Sun Annual Conference of the Prognostics and Health Management Society, 2015 | 19 | 2015 |
| S-powergraph: Streaming graph partitioning for natural graphs by vertex-cut C Xie, WJ Li, Z Zhang arXiv preprint arXiv:1511.02586, 2015 | 17 | 2015 |
| Practical distributed learning: Secure machine learning with communication-efficient local updates C Xie, S Koyejo, I Gupta European Conference on Machine Learning and Principles and Practice of …, 2019 | 15 | 2019 |
| Zeno++: Robust asynchronous SGD with arbitrary number of Byzantine workers C Xie, O Koyejo, I Gupta arXiv preprint arXiv:1903.07020, 2019 | 14 | 2019 |
| Compressed Communication for Distributed Training: Adaptive Methods and System Y Zhong, C Xie, S Zheng, H Lin arXiv preprint arXiv:2105.07829, 2021 | 9 | 2021 |
| Faster Distributed Synchronous SGD with Weak Synchronization C Xie, OO Koyejo, I Gupta | 1 | 2018 |
Indranil GuptaProfessor, Computer Science, University of Illinois Urbana-ChampaignВерификована је имејл адреса на illinois.edu
