| : Decentralized Training over Decentralized Data H Tang, X Lian, M Yan, C Zhang, J Liu International Conference on Machine Learning, 4848-4856, 2018 | 117 | 2018 |
| Communication compression for decentralized training H Tang, S Gan, C Zhang, T Zhang, J Liu arXiv preprint arXiv:1803.06443, 2018 | 116 | 2018 |
| Doublesqueeze: Parallel stochastic gradient descent with double-pass error-compensated compression H Tang, C Yu, X Lian, T Zhang, J Liu International Conference on Machine Learning, 6155-6165, 2019 | 63 | 2019 |
| Distributed learning over unreliable networks C Yu, H Tang, C Renggli, S Kassing, A Singla, D Alistarh, C Zhang, J Liu International Conference on Machine Learning, 7202-7212, 2019 | 20 | 2019 |
| Central server free federated learning over single-sided trust social networks C He, C Tan, H Tang, S Qiu, J Liu arXiv preprint arXiv:1910.04956, 2019 | 18 | 2019 |
| Deepsqueeze: Parallel stochastic gradient descent with double-pass error-compensated compression H Tang, X Lian, S Qiu, L Yuan, C Zhang, T Zhang, J Liu arXiv preprint arXiv:1907.07346, 2019 | 12 | 2019 |
| Decentralized Online Learning: Take Benefits from Others' Data without Sharing Your Own to Track Global Trend Y Zhao, C Yu, P Zhao, H Tang, S Qiu, J Liu arXiv preprint arXiv:1901.10593, 2019 | 10 | 2019 |
| 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, ... arXiv preprint arXiv:2102.02888, 2021 | | 2021 |
| APMSqueeze: A Communication Efficient Adam-Preconditioned Momentum SGD Algorithm H Tang, S Gan, S Rajbhandari, X Lian, C Zhang, J Liu, Y He arXiv preprint arXiv:2008.11343, 2020 | | 2020 |
| : Decentralization Meets Error-Compensated Compression H Tang, X Lian, S Qiu, L Yuan, C Zhang, T Zhang, J Liu arXiv preprint arXiv:1907.07346, 2019 | | 2019 |
| Systems/Subsytems S Rajbhandari, AVN Jalajakumari, H Chun, G Faulkner, K Cameron, ... | | |
Ji LiuUniversity of RochesterVerified email at cs.rochester.edu
