3 papers
cs.CR2026
Unveiling the Security Risks of Federated Learning in the Wild: From Research to Practice
Jiahao Chen, Zhiming Zhao, Yuwen Pu +4
Federated learning (FL) has attracted substantial attention in both academia and industry, yet its practical security posture remains poorly understood. In particular, a large body…
cs.DC2025
Managing Federated Learning on Decentralized Infrastructures as a Reputation-based Collaborative Workflow
Yuandou Wang, Zhiming Zhao
Federated Learning (FL) has recently emerged as a collaborative learning paradigm that can train a global model among distributed participants without raw data exchange to satisfy…
cs.CR2025
CrowdAL: Towards a Blockchain-empowered Active Learning System in Crowd Data Labeling
Shaojie Hou, Yuandou Wang, Zhiming Zhao
Active Learning (AL) is a machine learning technique where the model selectively queries the most informative data points for labeling by human experts. Integrating AL with crowdso…