most citedAn Element-Wise Weights Aggregation Method for Federated Learning

4 citations · 5 across the 2 of their papers we have counts for

collaborators

5 papers

cs.LG2024

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…

cs.LG2024

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…

cs.LG2024

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…

cs.CR20241 cited

Facilitating Feature and Topology Lightweighting: An Ethereum Transaction Graph Compression Method for Malicious Account Detection

Jiajun Zhou, Xuanze Chen, Shengbo Gong +4

Ethereum has become one of the primary global platforms for cryptocurrency, playing an important role in promoting the diversification of the financial ecosystem. However, the rela…

cs.LG20244 cited

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…