2 papers
cs.CR2025
Flexible Threshold Multi-client Functional Encryption for Inner Product in Federated Learning
Ruyuan Zhang, Jinguang Han, Liqun Chen
Federated learning (FL) is a distributed machine learning paradigm that enables multiple clients to collaboratively train a shared model without disclosing their local data. To add…
cs.CR2024
Multi-client Functional Encryption for Set Intersection with Non-monotonic Access Structures in Federated Learning
Ruyuan Zhang, Jinguang Han
Federated learning (FL) based on cloud servers is a distributed machine learning framework that involves an aggregator and multiple clients, which allows multiple clients to collab…