Team: Antoine Boutet (PI), Jan Aalmoes and Thomas Lebrun (co-PIs) – INRIA / INSA de Lyon, France Youakim Badr (co-PI), Robin Qiu, Prasenjit Mitra, Patrick McDenial – Pennsylvania State University  Program: Pack Ambition International 2021- Auvergne-Rhône Alpes Region, France Period: 09/01/2021 – 08/01/2023 Summary: This project aims at developing a secure Federated Machine Learning Framework and tools that preserve the confidentiality of personal data in distributed environments. To this end, we will extend different federated learning approaches and consider their limitations in terms of accuracy, confidentiality, and robustness related to these approaches. In addition, we will enable our Federated Machine Learning Framework with mechanisms to better understand the distributed AI learning process and ensure unbiased fairness that may occur from users data. This project will also strengthen a partnership between professors from INSA Lyon, School of Graduate Studies, College of Information Science and Technologies, and School of Computer Science and  Engineering at the Pennsylvania State University to not only develop common research topics but also exchange Ph.D. students in Lyon and Penn State research laboratories.  In addition, the project aims to develop several teaching initiatives to allow students from both institutions to benefit from the Federated Machine Learning Framework as a teaching platform to build federatel learning projects and experiments Cybersecurity attacks on  AI systems. The mutual visits of faculty also aim to promote double degree programs and summer programs.