activity
20232026
most citedNo Vandalism: Privacy-Preserving and Byzantine-Robust Federated Learning

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

collaborators

5 papers

cs.CR2026

Blockchain Empowered Trustworthy Agent Networks: Foundations, Taxonomy, and Future Directions

Liehuang Zhu, Yuhang Li, Tianxing Wang +7

AI agents are evolving from isolated task executors into networked autonomous entities that can communicate, delegate tasks, invoke tools, access external knowledge, and participat…

cs.CR2025

EByFTVeS: Efficient Byzantine Fault Tolerant-based Verifiable Secret-sharing in Distributed Privacy-preserving Machine Learning

Zhen Li, Zijian Zhang, Wenjin Yang +5

Verifiable Secret Sharing (VSS) has been widespread in Distributed Privacy-preserving Machine Learning (DPML), because invalid shares from malicious dealers or participants can be…

cs.CR2024

CamLoPA: A Hidden Wireless Camera Localization Framework via Signal Propagation Path Analysis

Xiang Zhang, Jie Zhang, Zehua Ma +9

Hidden wireless cameras pose significant privacy threats, necessitating effective detection and localization methods. However, existing solutions often require spacious activity ar…

cs.CR20242 cited

No Vandalism: Privacy-Preserving and Byzantine-Robust Federated Learning

Zhibo Xing, Zijian Zhang, Zi'ang Zhang +3

Federated learning allows several clients to train one machine learning model jointly without sharing private data, providing privacy protection. However, traditional federated lea…

cs.LG2023

Zero-Knowledge Proof-based Verifiable Decentralized Machine Learning in Communication Network: A Comprehensive Survey

Zhibo Xing, Zijian Zhang, Ziang Zhang +8

Over recent decades, machine learning has significantly advanced network communication, enabling improved decision-making, user behavior analysis, and fault detection. Decentralize…