This conference paper examines federated learning with homomorphic encryption for medical-data privacy. It addresses how collaborative model training can be studied alongside the protection of sensitive data.
Mounira Tarhouni; Fedwa Mansouri; Bechir Alaya; Salah Zidi. Protecting Patient Privacy with Encrypted Federated Learning Models. 2023 IEEE Third International Conference on Signal, Control and Communication (SCC). https://ieeexplore.ieee.org/document/10527615/
PhD Researcher | AI & NLP
Fedwa Mansouri is a doctoral researcher in Computer Science at the University of Gabès and a member of BECOME's scientific team through becomePhD. Her interests span language models, NLP, Deep Learning and Reinforcement Learning, supported by applied experience in text classification and Python development.
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