1 citations · 1 across the 4 of their papers we have counts for
4 papers
Adaptive Requesting in Decentralized Edge Networks via Non-Stationary Bandits
Yi Zhuang, Kun Yang, Xingran Chen
We study a decentralized collaborative requesting problem that aims to optimize the information freshness of time-sensitive clients in edge networks consisting of multiple clients,…
Secure and Private Federated Learning: Achieving Adversarial Resilience through Robust Aggregation
Kun Yang, Neena Imam
Federated Learning (FL) enables collaborative machine learning across decentralized data sources without sharing raw data. It offers a promising approach to privacy-preserving AI.…
Financial Data Analysis with Robust Federated Logistic Regression
Kun Yang, Nikhil Krishnan, Sanjeev R. Kulkarni
In this study, we focus on the analysis of financial data in a federated setting, wherein data is distributed across multiple clients or locations, and the raw data never leaves th…
A Seesaw Model Attack Algorithm for Distributed Learning
Kun Yang, Tianyi Luo, Yanjie Dong +1
We investigate the Byzantine attack problem within the context of model training in distributed learning systems. While ensuring the convergence of current model training processes…