Learning by weakly-connected adaptive agents. - Bicheng Ying; Ali H. Sayed (ICASSP, 2015)

Performance Limits of Online Stochastic Sub-Gradient Learning. - Bicheng Ying; Ali H. Sayed (CoRR, 2015)

Online dual coordinate ascent learning. - Bicheng Ying; Kun Yuan 001; Ali H. Sayed (EUSIPCO, 2016)

The brain strategy for online learning. - Stefan Vlaski; Bicheng Ying; Ali H. Sayed (GlobalSIP, 2016)

Diffusion social learning over weakly-connected graphs. - Hawraa Salami; Bicheng Ying; Ali H. Sayed (ICASSP, 2016)

Performance limits of single-agent and multi-agent sub-gradient stochastic learning. - Bicheng Ying; Ali H. Sayed (ICASSP, 2016)

Stochastic gradient descent with finite samples sizes. - Kun Yuan 001; Bicheng Ying; Stefan Vlaski; Ali H. Sayed (MLSP, 2016)

On the Influence of Momentum Acceleration on Online Learning. - Kun Yuan 001; Bicheng Ying; Ali H. Sayed (J. Mach. Learn. Res., 2016)

Information Exchange and Learning Dynamics Over Weakly Connected Adaptive Networks. - Bicheng Ying; Ali H. Sayed (IEEE Trans. Inf. Theory, 2016)

Coordinate-descent adaptation over networks. - Chengcheng Wang; Yonggang Zhang 001; Bicheng Ying; Ali H. Sayed (EUSIPCO, 2017)

Exact diffusion strategy for optimization by networked agents. - Kun Yuan 001; Bicheng Ying; Xiaochuan Zhao; Ali H. Sayed (EUSIPCO, 2017)

Diffusion gradient boosting for networked learning. - Bicheng Ying; Ali H. Sayed (ICASSP, 2017)

On the performance of random reshuffling in stochastic learning. - Bicheng Ying; Kun Yuan 001; Stefan Vlaski; Ali H. Sayed (ITA, 2017)

Convergence of Variance-Reduced Stochastic Learning under Random Reshuffling. - Bicheng Ying; Kun Yuan 001; Ali H. Sayed (CoRR, 2017)

Efficient Variance-Reduced Learning for Fully Decentralized On-Device Intelligence. - Kun Yuan 001; Bicheng Ying; Ali H. Sayed (CoRR, 2017)

Social Learning Over Weakly Connected Graphs. - Hawraa Salami; Bicheng Ying; Ali H. Sayed (IEEE Trans. Signal Inf. Process. over Networks, 2017)

An Exponentially Convergent Algorithm for Learning Under Distributed Features. - Bicheng Ying; Kun Yuan 001; Ali H. Sayed (DSW, 2018)

Efficient Variance-Reduced Learning Over Multi-Agent Networks. - Kun Yuan 001; Bicheng Ying; Ali H. Sayed (EUSIPCO, 2018)

Convergence of Variance-Reduced Learning Under Random Reshuffling. - Bicheng Ying; Kun Yuan 001; Ali H. Sayed (ICASSP, 2018)

Belief Control Strategies for Interactions over Weak Graphs. - Hawraa Salami; Bicheng Ying; Ali H. Sayed (CoRR, 2018)

Stochastic Learning under Random Reshuffling. - Bicheng Ying; Kun Yuan 001; Stefan Vlaski; Ali H. Sayed (CoRR, 2018)

Learning Under Distributed Features. - Bicheng Ying; Kun Yuan 001; Ali H. Sayed (CoRR, 2018)

Performance limits of stochastic sub-gradient learning, part II: Multi-agent case. - Bicheng Ying; Ali H. Sayed (Signal Process., 2018)

Performance limits of stochastic sub-gradient learning, Part I: Single agent case. - Bicheng Ying; Ali H. Sayed (Signal Process., 2018)

Coordinate-Descent Diffusion Learning by Networked Agents. - Chengcheng Wang; Yonggang Zhang 001; Bicheng Ying; Ali H. Sayed (IEEE Trans. Signal Process., 2018)

Learning Under Random Reshuffling and Distributed Features - Bicheng Ying (2018)

On the Performance of Exact Diffusion over Adaptive Networks. - Kun Yuan 001; Sulaiman A. Alghunaim; Bicheng Ying; Ali H. Sayed (CDC, 2019)

COVER: A Cluster-based Variance Reduced Method for Online Learning. - Kun Yuan 001; Bicheng Ying; Ali H. Sayed (ICASSP, 2019)

Dynamic Average Diffusion With Randomized Coordinate Updates. - Bicheng Ying; Kun Yuan 001; Ali H. Sayed (IEEE Trans. Signal Inf. Process. over Networks, 2019)

Supervised Learning Under Distributed Features. - Bicheng Ying; Kun Yuan 001; Ali H. Sayed (IEEE Trans. Signal Process., 2019)

Stochastic Learning Under Random Reshuffling With Constant Step-Sizes. - Bicheng Ying; Kun Yuan 001; Stefan Vlaski; Ali H. Sayed (IEEE Trans. Signal Process., 2019)

Variance-Reduced Stochastic Learning by Networked Agents Under Random Reshuffling. - Kun Yuan 001; Bicheng Ying; Jiageng Liu; Ali H. Sayed (IEEE Trans. Signal Process., 2019)

Exact Diffusion for Distributed Optimization and Learning - Part I: Algorithm Development. - Kun Yuan 001; Bicheng Ying; Xiaochuan Zhao; Ali H. Sayed (IEEE Trans. Signal Process., 2019)

Exact Diffusion for Distributed Optimization and Learning - Part II: Convergence Analysis. - Kun Yuan 001; Bicheng Ying; Xiaochuan Zhao; Ali H. Sayed (IEEE Trans. Signal Process., 2019)

Variance-Reduced Stochastic Learning Under Random Reshuffling. - Bicheng Ying; Kun Yuan 001; Ali H. Sayed (IEEE Trans. Signal Process., 2020)

On the Influence of Bias-Correction on Distributed Stochastic Optimization. - Kun Yuan 001; Sulaiman A. Alghunaim; Bicheng Ying; Ali H. Sayed (IEEE Trans. Signal Process., 2020)

Exponential Graph is Provably Efficient for Decentralized Deep Training. - Bicheng Ying; Kun Yuan 001; Yiming Chen 003; Hanbin Hu; Pan Pan; Wotao Yin (NeurIPS, 2021)

BlueFog: Make Decentralized Algorithms Practical for Optimization and Deep Learning. - Bicheng Ying; Kun Yuan 001; Hanbin Hu; Yiming Chen 003; Wotao Yin (CoRR, 2021)

DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm. - Lisang Ding; Kexin Jin; Bicheng Ying; Kun Yuan 001; Wotao Yin (ICML, 2023)

Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization. - Zhe Li; Bicheng Ying; Zidong Liu; Haibo Yang (CoRR, 2024)

Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization. - Zhe Li; Bicheng Ying; Zidong Liu; Chaosheng Dong; Haibo Yang (ICLR, 2025)

On Graphs with Finite-Time Consensus and Their Use in Gradient Tracking. - Edward Duc Hien Nguyen; Xin Jiang; Bicheng Ying; César A. Uribe (SIAM J. Optim., 2025)

Sparse Factorization of the Square All-Ones Matrix of Arbitrary Order. - Xin Jiang; Edward Duc Hien Nguyen; César A. Uribe; Bicheng Ying (SIAM J. Matrix Anal. Appl., 2025)

From Interpretation to Correction: A Decentralized Optimization Framework for Exact Convergence in Federated Learning. - Bicheng Ying; Zhe Li; Haibo Yang (CoRR, 2025)

Reconciling Hessian-Informed Acceleration and Scalar-Only Communication for Efficient Federated Zeroth-Order Fine-Tuning. - Zhe Li; Bicheng Ying; Zidong Liu; Chaosheng Dong; Haibo Yang (CoRR, 2025)