A Methodology to Build Decision Analysis Tools Applied to Distributed Reinforcement Learning. - Cèdric Prigent; Loïc Cudennec; Alexandru Costan; Gabriel Antoniu (IPDPS Workshops, 2022)

FedGuard: Selective Parameter Aggregation for Poisoning Attack Mitigation in Federated Learning. - Melvin Chelli; Cèdric Prigent; René Schubotz; Alexandru Costan; Gabriel Antoniu; Loïc Cudennec; Philipp Slusallek (CLUSTER, 2023)

Efficient Resource-Constrained Federated Learning Clustering with Local Data Compression on the Edge-to-Cloud Continuum. - Cèdric Prigent; Melvin Chelli; Alexandru Costan; Loïc Cudennec; René Schubotz; Gabriel Antoniu (HiPC, 2024)

Enabling federated learning across the computing continuum: Systems, challenges and future directions. - Cèdric Prigent; Alexandru Costan; Gabriel Antoniu; Loïc Cudennec (Future Gener. Comput. Syst., 2024)