4 citations · 5 across the 2 of their papers we have counts for
5 papers · 1 filter
Distributed Learning for UAV Swarms
Chen Hu, Hanchi Ren, Jingjing Deng +1
Unmanned Aerial Vehicle (UAV) swarms are increasingly deployed in dynamic, data-rich environments for applications such as environmental monitoring and surveillance. These scenario…
Gradients Stand-in for Defending Deep Leakage in Federated Learning
H. Yi, H. Ren, C. Hu +3
Federated Learning (FL) has become a cornerstone of privacy protection, shifting the paradigm towards localizing sensitive data while only sending model gradients to a central serv…
FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition
Chen Hu, Hanchi Ren, Jingjing Deng +2
Federated learning is a machine learning paradigm that enables decentralized clients to collaboratively learn a shared model while keeping all the training data local. While consid…
An Element-Wise Weights Aggregation Method for Federated Learning
Yi Hu, Hanchi Ren, Chen Hu +2
Federated learning (FL) is a powerful Machine Learning (ML) paradigm that enables distributed clients to collaboratively learn a shared global model while keeping the data on the o…
A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective
Xianghua Xie, Chen Hu, Hanchi Ren +1
This review paper takes a comprehensive look at malicious attacks against FL, categorizing them from new perspectives on attack origins and targets, and providing insights into the…