3 papers
cs.CR2026
Toward Web 4.0: Bidirectional Trust between AI Agents and Blockchain
Yunfeng Xia, Chao Li, Lei Li +4
Autonomous AI agents are increasingly deployed on blockchain platforms, yet the design space that governs their interaction remains poorly understood. This convergence, where auton…
cs.CR2025
DeFeed: Secure Decentralized Cross-Contract Data Feed in Web 3.0 for Connected Autonomous Vehicles
Xingchen Sun, Runhua Xu, Wei Ni +2
Smart contracts have been a topic of interest in blockchain research and are a key enabling technology for Connected Autonomous Vehicles (CAVs) in the era of Web 3.0. These contrac…
cs.CR2025
TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning
Runhua Xu, Bo Li, Chao Li +3
Federated learning is a computing paradigm that enhances privacy by enabling multiple parties to collaboratively train a machine learning model without revealing personal data. How…