Portrait of Samaneh Mohammadi

Samaneh Mohammadi

PhD Candidate, School of Informatics, University of Edinburgh

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My research focuses on Trustworthy of Federated Learning, particularly on achieving privacy and fairness in federated learning. My PhD advisor is Dr. Marc Juarez.

Education

University of Edinburgh
Ph.D. in Cyber Security, Privacy, and Trust
University of Tehran
M.Sc. in Information Technology Engineering

News

Publications

  1. EFU: Enforcing Federated Unlearning via Functional Encryption
    Proceedings of the 34th ACM International Conference on Information and Knowledge Management (CIKM 2025).
  2. Empirical Analysis of Asynchronous Federated Learning on Heterogeneous Devices: Efficiency, Fairness, and Privacy Trade-offs
    International Joint Conference on Neural Networks (IJCNN 2025).
  3. EncCluster: Scalable Functional Encryption in Federated Learning Through Weight Clustering and Probabilistic Filters
    Pervasive and Mobile Computing Journal (PMCJ 2025).
  4. Bringing Functional Encryption in Federated Foundational Models
    NeurIPS 2024 Workshop on Federated Foundation Models.
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  1. Balancing Privacy and Performance in Federated Learning: A Systematic Literature Review on Methods and Metrics
    Journal of Parallel and Distributed Computing (JPDC 2024).
  2. Balancing Privacy and Accuracy in Federated Learning for Speech Emotion Recognition
    18th Conference on Computer Science and Intelligent Systems (FedCSIS 2023), Best Paper Award.
  3. Secure and Efficient Federated Learning by Combining Homomorphic Encryption and Gradient Pruning in Speech Emotion Recognition
    International Conference on Information Security Practice and Experience (ISPEC 2023).

Teaching and Talks