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Bicheng Ying
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Year
Exact diffusion for distributed optimization and learning—Part I: Algorithm development
K Yuan, B Ying, X Zhao, AH Sayed
IEEE Transactions on Signal Processing 67 (3), 708-723, 2018
1542018
Exact diffusion for distributed optimization and learning—Part II: Convergence analysis
K Yuan, B Ying, X Zhao, AH Sayed
IEEE Transactions on Signal Processing 67 (3), 724-739, 2018
722018
Variance-Reduced Stochastic Learning by Networked Agents under Random Reshuffling
K Yuan, B Ying, J Liu, AH Sayed
IEEE Transactions on Signal Processing 67 (2), 351 - 366, 2018
602018
Social learning over weakly connected graphs
H Salami, B Ying, AH Sayed
IEEE Transactions on Signal and Information Processing over Networks 3 (2 …, 2017
502017
Variance-Reduced Stochastic Learning Under Random Reshuffling
B Ying, K Yuan, AH Sayed
IEEE Transactions on Signal Processing 68, 1390 - 1408, 2020
45*2020
Supervised learning under distributed features
B Ying, K Yuan, AH Sayed
IEEE Transactions on Signal Processing 67 (4), 977-992, 2018
422018
Stochastic learning under random reshuffling with constant step-sizes
B Ying, K Yuan, S Vlaski, AH Sayed
IEEE Transactions on Signal Processing 67 (2), 474-489, 2018
38*2018
On the influence of momentum acceleration on online learning
K Yuan, B Ying, AH Sayed
The Journal of Machine Learning Research 17 (1), 6602-6667, 2016
372016
Stochastic gradient descent with finite samples sizes
K Yuan, B Ying, S Vlaski, AH Sayed
2016 IEEE 26th International Workshop on Machine Learning for Signal …, 2016
332016
On the influence of bias-correction on distributed stochastic optimization
K Yuan, SA Alghunaim, B Ying, AH Sayed
IEEE Transactions on Signal Processing 68, 4352-4367, 2020
252020
Information exchange and learning dynamics over weakly connected adaptive networks
B Ying, AH Sayed
IEEE Transactions on information Theory 62 (3), 1396-1414, 2016
232016
Performance limits of stochastic sub-gradient learning, part II: Multi-agent case
B Ying, AH Sayed
Signal Processing 144, 253-264, 2018
182018
Coordinate-descent diffusion learning by networked agents
C Wang, Y Zhang, B Ying, AH Sayed
IEEE Transactions on Signal Processing 66 (2), 352-367, 2017
172017
On the performance of exact diffusion over adaptive networks
K Yuan, SA Alghunaim, B Ying, AH Sayed
2019 IEEE 58th Conference on Decision and Control (CDC), 4898-4903, 2019
162019
Exponential graph is provably efficient for decentralized deep training
B Ying, K Yuan, Y Chen, H Hu, P Pan, W Yin
Advances in Neural Information Processing Systems 34, 13975-13987, 2021
112021
Diffusion gradient boosting for networked learning
B Ying, AH Sayed
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
102017
On the performance of random reshuffling in stochastic learning
B Ying, K Yuan, S Vlaski, AH Sayed
2017 Information Theory and Applications Workshop (ITA), 1-5, 2017
92017
Bluefog: Make decentralized algorithms practical for optimization and deep learning
B Ying, K Yuan, H Hu, Y Chen, W Yin
arXiv preprint arXiv:2111.04287, 2021
62021
Performance limits of stochastic sub-gradient learning, Part I: Single agent case
B Ying, AH Sayed
Signal Processing 144, 271-282, 2018
62018
Exact diffusion strategy for optimization by networked agents
K Yuan, B Ying, X Zhao, AH Sayed
2017 25th European Signal Processing Conference (EUSIPCO), 141-145, 2017
62017
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