2 papers
cs.CR2026
An Adaptive Gradient Clipping and Noise Injection Mechanism for Differentially Private Federated Learning
Wenjing Wei, Alla Jammine, Farid Nait-Abdesselam
Differentially private federated learning must balance privacy protection against model accuracy and training efficiency. Static gradient clipping applies a fixed threshold through…
cs.CR2026
Scalable and Private Federated Learning Using Distributed Differential Privacy and Secure Aggregation
Wenjing Wei, Farid Nait-Abdesselam, Alla Jammine
This article presents DDP-SA, a scalable privacy-preserving federated learning framework that jointly leverages client-side local differential privacy (LDP) and full-threshold addi…