Folgen
Bicheng Ying
Titel
Zitiert von
Zitiert von
Jahr
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
2262018
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
932018
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
702018
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
682021
Social learning over weakly connected graphs
H Salami, B Ying, AH Sayed
IEEE Transactions on Signal and Information Processing over Networks 3 (2 …, 2017
672017
On the influence of momentum acceleration on online learning
K Yuan, B Ying, AH Sayed
Journal of Machine Learning Research 17 (192), 1-66, 2016
632016
Supervised learning under distributed features
B Ying, K Yuan, AH Sayed
IEEE Transactions on Signal Processing 67 (4), 977-992, 2018
552018
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
522020
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
392016
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
382018
Variance-reduced stochastic learning under random reshuffling
B Ying, K Yuan, AH Sayed
IEEE Transactions on Signal Processing 68, 1390-1408, 2020
352020
Information exchange and learning dynamics over weakly connected adaptive networks
B Ying, AH Sayed
IEEE Transactions on information Theory 62 (3), 1396-1414, 2016
272016
Performance limits of stochastic sub-gradient learning, Part I: Single agent case
B Ying, AH Sayed
Signal Processing 144, 271-282, 2018
262018
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
242021
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
192017
Convergence of variance-reduced stochastic learning under random reshuffling
B Ying, K Yuan, AH Sayed
arXiv preprint arXiv:1708.01383 2 (3), 6, 2017
192017
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
152019
Convergence of variance-reduced learning under random reshuffling
B Ying, K Yuan, AH Sayed
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
132018
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
132017
Diffusion gradient boosting for networked learning
B Ying, AH Sayed
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
122017
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20