2 papers
cs.CR2025
Practical Framework for Privacy-Preserving and Byzantine-robust Federated Learning
Baolei Zhang, Minghong Fang, Zhuqing Liu +5
Federated Learning (FL) allows multiple clients to collaboratively train a model without sharing their private data. However, FL is vulnerable to Byzantine attacks, where adversari…
cs.SE2025
Open Source, Hidden Costs: A Systematic Literature Review on OSS License Management
Boyuan Li, Chengwei Liu, Lingling Fan +3
Integrating third-party software components is a common practice in modern software development, offering significant advantages in terms of efficiency and innovation. However, thi…