Privacy-Preserving Distributed Learning with Nonsmooth Objective Functions. - François Gauthier 002; Cristiano Gratton; Naveen K. D. Venkategowda; Stefan Werner 001 (ACSSC, 2020)

Clustered Graph Federated Personalized Learning. - François Gauthier 002; Vinay Chakravarthi Gogineni; Stefan Werner 001; Yih-Fang Huang; Anthony Kuh (IEEECONF, 2022)

Resource-Aware Asynchronous Online Federated Learning for Nonlinear Regression. - François Gauthier 002; Vinay Chakravarthi Gogineni; Stefan Werner 001; Yih-Fang Huang; Anthony Kuh (ICC, 2022)

Personalized Online Federated Learning for IoT/CPS: Challenges and Future Directions. - Vinay Chakravarthi Gogineni; Stefan Werner 001; François Gauthier 002; Yih-Fang Huang; Anthony Kuh (IEEE Internet Things Mag., 2022)

Networked Personalized Federated Learning Using Reinforcement Learning. - François Gauthier 002; Vinay Chakravarthi Gogineni; Stefan Werner 001 (ICC, 2023)

Asynchronous Online Federated Learning With Reduced Communication Requirements. - François Gauthier 002; Vinay Chakravarthi Gogineni; Stefan Werner 001; Yih-Fang Huang; Anthony Kuh (IEEE Internet Things J., 2023)

Personalized Graph Federated Learning With Differential Privacy. - François Gauthier 002; Vinay Chakravarthi Gogineni; Stefan Werner 001; Yih-Fang Huang; Anthony Kuh (IEEE Trans. Signal Inf. Process. over Networks, 2023)