Zhuo Ma

RUPT-FL: Robust Two-Layered Privacy-Preserving Federated Learning Framework With Unlinkability for IoV

2024 · IEEE Transactions on Vehicular Technology

Privacy-preserving federated learning framework has been widely applied in the Internet of Vehicles (IoV) scenario, to enhance the privacy of local models and sensitive vehicle data. However, as increasing cyberattacks are launched against RSUs and …

Privacy Preserving Second-Order Consensus by Adding Edge-Based Perturbations

2024

Many works on privacy-preserving consensus of multi-agents are limited to first-order dynamics, and developing privacy-preserving consensus algorithms based on second-order dynamical network systems has a stronger need for engineering practicality and presents a greater challenge. …