| : Decentralized Training over Decentralized Data H Tang, X Lian, M Yan, C Zhang, J Liu International Conference on Machine Learning, 4848-4856, 2018 | 256 | 2018 |
| Communication compression for decentralized training H Tang, S Gan, C Zhang, T Zhang, J Liu Advances in Neural Information Processing Systems 31, 2018 | 209 | 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 | 153 | 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 | 52 | 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 | 43 | 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 | 24 | 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 | 23 | 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, ... International Conference on Machine Learning, 10118-10129, 2021 | 21 | 2021 |
| APMSqueeze: A Communication Efficient Adam-Preconditioned Momentum SGD Algorithm H Tang, S Gan, S Rajbhandari, X Lian, J Liu, Y He, C Zhang arXiv preprint arXiv:2008.11343, 2020 | 2 | 2020 |
| ErrorCompensatedX: error compensation for variance reduced algorithms Hanlin Tang, Yao Li, Ji Liu, Ming Yan | | 2021 |
| Systems/Subsytems S Rajbhandari, AVN Jalajakumari, H Chun, G Faulkner, K Cameron, ... | | |
Ji LiuUniversity of RochesterVerified email at cs.rochester.edu
