Bicheng Ying

Orcid: 0000-0002-5246-2982

According to our database1, Bicheng Ying authored at least 40 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization.
CoRR, 2024

2023
DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm.
Proceedings of the International Conference on Machine Learning, 2023

2021
BlueFog: Make Decentralized Algorithms Practical for Optimization and Deep Learning.
CoRR, 2021

Exponential Graph is Provably Efficient for Decentralized Deep Training.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
On the Influence of Bias-Correction on Distributed Stochastic Optimization.
IEEE Trans. Signal Process., 2020

Variance-Reduced Stochastic Learning Under Random Reshuffling.
IEEE Trans. Signal Process., 2020

2019
Exact Diffusion for Distributed Optimization and Learning - Part II: Convergence Analysis.
IEEE Trans. Signal Process., 2019

Exact Diffusion for Distributed Optimization and Learning - Part I: Algorithm Development.
IEEE Trans. Signal Process., 2019

Variance-Reduced Stochastic Learning by Networked Agents Under Random Reshuffling.
IEEE Trans. Signal Process., 2019

Stochastic Learning Under Random Reshuffling With Constant Step-Sizes.
IEEE Trans. Signal Process., 2019

Supervised Learning Under Distributed Features.
IEEE Trans. Signal Process., 2019

Dynamic Average Diffusion With Randomized Coordinate Updates.
IEEE Trans. Signal Inf. Process. over Networks, 2019

COVER: A Cluster-based Variance Reduced Method for Online Learning.
Proceedings of the IEEE International Conference on Acoustics, 2019

On the Performance of Exact Diffusion over Adaptive Networks.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Learning Under Random Reshuffling and Distributed Features
PhD thesis, 2018

Coordinate-Descent Diffusion Learning by Networked Agents.
IEEE Trans. Signal Process., 2018

Performance limits of stochastic sub-gradient learning, Part I: Single agent case.
Signal Process., 2018

Performance limits of stochastic sub-gradient learning, part II: Multi-agent case.
Signal Process., 2018

Learning Under Distributed Features.
CoRR, 2018

Stochastic Learning under Random Reshuffling.
CoRR, 2018

Belief Control Strategies for Interactions over Weak Graphs.
CoRR, 2018

Convergence of Variance-Reduced Learning Under Random Reshuffling.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Efficient Variance-Reduced Learning Over Multi-Agent Networks.
Proceedings of the 26th European Signal Processing Conference, 2018

An Exponentially Convergent Algorithm for Learning Under Distributed Features.
Proceedings of the 2018 IEEE Data Science Workshop, 2018

2017
Social Learning Over Weakly Connected Graphs.
IEEE Trans. Signal Inf. Process. over Networks, 2017

Efficient Variance-Reduced Learning for Fully Decentralized On-Device Intelligence.
CoRR, 2017

Convergence of Variance-Reduced Stochastic Learning under Random Reshuffling.
CoRR, 2017

On the performance of random reshuffling in stochastic learning.
Proceedings of the 2017 Information Theory and Applications Workshop, 2017

Diffusion gradient boosting for networked learning.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Exact diffusion strategy for optimization by networked agents.
Proceedings of the 25th European Signal Processing Conference, 2017

Coordinate-descent adaptation over networks.
Proceedings of the 25th European Signal Processing Conference, 2017

2016
Information Exchange and Learning Dynamics Over Weakly Connected Adaptive Networks.
IEEE Trans. Inf. Theory, 2016

On the Influence of Momentum Acceleration on Online Learning.
J. Mach. Learn. Res., 2016

Stochastic gradient descent with finite samples sizes.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Performance limits of single-agent and multi-agent sub-gradient stochastic learning.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Diffusion social learning over weakly-connected graphs.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

The brain strategy for online learning.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Online dual coordinate ascent learning.
Proceedings of the 24th European Signal Processing Conference, 2016

2015
Performance Limits of Online Stochastic Sub-Gradient Learning.
CoRR, 2015

Learning by weakly-connected adaptive agents.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015


  Loading...