Search Results - "Ying, Bicheng"

Exact Diffusion for Distributed Optimization and Learning-Part I: Algorithm Development by Yuan, Kun, Ying, Bicheng, Zhao, Xiaochuan, Sayed, Ali H.

“…This paper develops a distributed optimization strategy with guaranteed exact convergence for a broad class of left-stochastic combination policies. The…”
Get full text

Exact Diffusion for Distributed Optimization and Learning-Part II: Convergence Analysis by Yuan, Kun, Ying, Bicheng, Zhao, Xiaochuan, Sayed, Ali H.

“…Part I of this paper developed the exact diffusion algorithm to remove the bias that is characteristic of distributed solutions for deterministic optimization…”
Get full text

On the Influence of Bias-Correction on Distributed Stochastic Optimization by Yuan, Kun, Alghunaim, Sulaiman A., Ying, Bicheng, Sayed, Ali H.

“…Various bias-correction methods such as EXTRA, gradient tracking methods, and exact diffusion have been proposed recently to solve distributed deterministic…”
Get full text

Supervised Learning Under Distributed Features by Ying, Bicheng, Yuan, Kun, Sayed, Ali H.

“…This paper studies the problem of learning under both large datasets and large-dimensional feature space scenarios. The feature information is assumed to be…”
Get full text

Variance-Reduced Stochastic Learning by Networked Agents Under Random Reshuffling by Kun Yuan, Bicheng Ying, Jiageng Liu, Sayed, Ali H.

“…This paper develops a distributed variance-reduced strategy for a collection of interacting agents that are connected by a graph topology. The resulting…”
Get full text

Stochastic Learning Under Random Reshuffling With Constant Step-Sizes by Ying, Bicheng, Yuan, Kun, Vlaski, Stefan, Sayed, Ali H.

“…In empirical risk optimization, it has been observed that stochastic gradient implementations that rely on random reshuffling of the data achieve better…”
Get full text

Variance-Reduced Stochastic Learning Under Random Reshuffling by Ying, Bicheng, Yuan, Kun, Sayed, Ali H.

“…Several useful variance-reduced stochastic gradient algorithms, such as SVRG, SAGA, Finito, and SAG, have been proposed to minimize empirical risks with linear…”
Get full text

Social Learning Over Weakly Connected Graphs by Salami, Hawraa, Bicheng Ying, Sayed, Ali H.

“…In this paper, we study diffusion social learning over weakly connected graphs. We show that the asymmetric flow of information hinders the learning abilities…”
Get full text

HSPA8 Is a New Biomarker of Triple Negative Breast Cancer Related to Prognosis and Immune Infiltration by Ying, Bicheng, Xu, Wenting, Nie, Yan, Li, Yongtao

“…Objective. Triple negative breast cancer (TNBC) is a kind of cancer that endangers the lives of women all over the world in the 21st century. Heat shock…”
Get full text

Coordinate-Descent Diffusion Learning by Networked Agents by Chengcheng Wang, Yonggang Zhang, Bicheng Ying, Sayed, Ali H.

“…This paper examines the mean-square error performance of diffusion stochastic algorithms under a generalized coordinate-descent scheme. In this setting, the…”
Get full text

Predicting survival and prognosis of postoperative breast cancer brain metastasis: a population-based retrospective analysis by Nie, Yan, Ying, Bicheng, Lu, Zinan, Sun, Tonghui, Sun, Gang

“…Breast cancer is one of the most common cancer in women and a proportion of patients experiences brain metastases with poor prognosis. The study aimed to…”
Get full text

Information Exchange and Learning Dynamics Over Weakly Connected Adaptive Networks by Bicheng Ying, Sayed, Ali H.

“…This paper examines the learning mechanism of adaptive agents over weakly connected graphs and reveals an interesting behavior on how information flows through…”
Get full text

Diffusion gradient boosting for networked learning by Bicheng Ying, Sayed, Ali H.

“…Using duality arguments from optimization theory, this work develops an effective distributed gradient boosting strategy for inference and classification by…”
Get full text

Dynamic Average Diffusion With Randomized Coordinate Updates by Ying, Bicheng, Yuan, Kun, Sayed, Ali H.

“…This work derives and analyzes an online learning strategy for tracking the average of time-varying distributed signals by relying on randomized…”
Get full text

Belief Control Strategies for Interactions Over Weakly-Connected Graphs by Salami, Hawraa, Ying, Bicheng, Sayed, Ali H.

“…In diffusion social learning over weakly-connected graphs, it has been shown recently that influential agents shape the beliefs of non-influential agents. This…”
Get full text

Performance limits of single-agent and multi-agent sub-gradient stochastic learning by Bicheng Ying, Sayed, Ali H.

“…This work examines the performance of stochastic sub-gradient learning strategies, for both cases of stand-alone and networked agents, under weaker conditions…”
Get full text

On the influence of momentum acceleration on online learning by Kun Yuan, Bicheng Ying, Sayed, Ali H.

“…This paper examines the convergence rate and mean-square-error performance of momentum stochastic gradient methods in the constant step-size and slow…”
Get full text

Learning by weakly-connected adaptive agents by Bicheng Ying, Sayed, Ali H.

“…In this paper, we examine the learning mechanism of adaptive agents over weakly-connected graphs and reveal an interesting behavior on how information flows…”
Get full text

Diffusion social learning over weakly-connected graphs by Salami, Hawraa, Bicheng Ying, Sayed, Ali H.

“…In this paper, we study diffusion social learning over weakly-connected graphs. We show that the asymmetric flow of information hinders the learning abilities…”
Get full text

Performance limits of stochastic sub-gradient learning, part II: Multi-agent case by Ying, Bicheng, Sayed, Ali H.

“…•A novel sub-gradient assumption is proposed.•New convergence and steady-state performance is been proved under the diffusion strategy.•Multiple examples with…”
Get full text