3 papers
cs.CR2025
Lightweight Federated Learning with Differential Privacy and Straggler Resilience
Shu Hong, Xiaojun Lin, Lingjie Duan
Federated learning (FL) enables collaborative model training through model parameter exchanges instead of raw data. To avoid potential inference attacks from exchanged parameters,…
cs.CR2023
Location Privacy Protection Game against Adversary through Multi-user Cooperative Obfuscation
Shu Hong, Lingjie Duan
In location-based services(LBSs), it is promising for users to crowdsource and share their Point-of-Interest(PoI) information with each other in a common cache to reduce query freq…
cs.GT2023
Regulating Clients' Noise Adding in Federated Learning without Verification
Shu Hong, Lingjie Duan
In federated learning (FL), clients cooperatively train a global model without revealing their raw data but gradients or parameters, while the local information can still be disclo…