H Tang, X Lian, M Yan, C Zhang, J Liu
International Conference on Machine Learning, 4848-4856, 2018
281 2018 Communication compression for decentralized training H Tang, S Gan, C Zhang, T Zhang, J Liu
Advances in Neural Information Processing Systems 31, 2018
227 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
189 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
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
52 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
28 2021 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
24 2019 ErrorCompensatedX: error compensation for variance reduced algorithms H Tang, Y Li, J Liu, M Yan
Advances in Neural Information Processing Systems 34, 18102-18113, 2021
4 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
3 2020 MKQ-BERT: Quantized BERT with 4-bits Weights and Activations H Tang, X Zhang, K Liu, J Zhu, Z Kang
arXiv preprint arXiv:2203.13483, 2022
2022 Communication Efficient Machine Learning H Tang
University of Rochester, 2021
2021 Systems/Subsytems S Rajbhandari, AVN Jalajakumari, H Chun, G Faulkner, K Cameron, ...
Ji LiuMetaПотвърден имейл адрес: meta.com
