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20232026
most citedA Novel Privacy Enhancement Scheme with Dynamic Quantization for Federated Learning

1 citations · 1 across the 5 of their papers we have counts for

collaborators

7 papers

math.OC2026

Noise-Robust Distributed Optimization Over Directed Graphs With Row Stochastic Matrices

Yifan Wang, Mufeng Wang, Xianghui Cao

In the presence of information-sharing noise, row-stochastic distributed optimization over directed and unbalanced graphs can suffer not only from noise accumulation in gradient tr…

math.OC2026

Adaptive Stepsizes With Certified Convergence in Distributed Gradient Tracking With Quadratic Costs

Yifan Wang, Luca Ballotta, Ruggero Carli +3

In this work, we propose an adaptive stepsize rule with guaranteed convergence for Distributed Gradient Tracking applied to scalar quadratic problems with heterogeneous curvatures.…

math.OC2026

Pursuing Optimal Stepsize in Adaptive Gradient-Based Quadratic Optimization

Yifan Wang, Luca Ballotta, Ruggero Carli +2

In this paper, we address the problem of achieving fast convergence in gradient descent for quadratic functions without relying on a priori knowledge of global function parameters.…

math.OC2024★ 1 cited

A Novel Privacy Enhancement Scheme with Dynamic Quantization for Federated Learning

Yifan Wang, Xianghui Cao, Shi Jin +1

Federated learning (FL) has been widely regarded as a promising paradigm for privacy preservation of raw data in machine learning. Although, the data privacy in FL is locally prote…

eess.SY2024

Augmented LRFS-based Filter: Holistic Tracking of Group Objects

Chaoqun Yang, Xiaowei Liang, Zhiguo Shi +2

This paper addresses the problem of group target tracking (GTT), wherein multiple closely spaced targets within a group pose a coordinated motion. To improve the tracking performan…

eess.SY2024

A Control-Recoverable Added-Noise-based Privacy Scheme for LQ Control in Networked Control Systems

Xuening Tang, Xianghui Cao, Wei Xing Zheng

As networked control systems continue to evolve, ensuring the privacy of sensitive data becomes an increasingly pressing concern, especially in situations where the controller is p…

math.OC2023

An Operator Splitting Scheme for Distributed Optimal Load-side Frequency Control with Nonsmooth Cost Functions

Yifan Wang, Shuai Liu, Xianghui Cao +1

The increasing penetration of renewable energy resources and utilization of energy storage systems pose new challenges in maintaining power system's stability. Specifically, the co…