Privacy Meets Performance: Rethinking Homomorphic Encryption in Federated Learning Privacy Meets Performance: Rethinking Homomorphic Encryption in Federated Learning Supervisor(s): Georg Bramm Status: inprogress Topic: Others Author: Oussama Jeddou Submission: 2025-09-08 Type of Thesis: Bachelorthesis Thesis topic in co-operation with the Fraunhofer Institute for Applied and Integrated Security AISEC, Garching Description