Samaneh Mohammadi
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Västerås
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Samaneh Mohammad joined RISE SICS Västerås as a researcher and PhD candidate (MDU) within the area of privacy-preserving techniques in distributed Artificial Intelligence systems in September 2021. Her research interests include Privacy and Security, Edge Artificial intelligence, Federated Learning, and Deep Learning. She has been involved in the EU project called DAIS https://dais-project.eu/.
Samaneh received her Master's degree in Information Technology Engineering from the University of Tehran in Iran in 2020. Her Master's thesis focused on "Anomaly detection in Dynamic Networks," which formulates high-resolution features and uses graph inductive learning.
Feel free to visit her LinkedIn https://www.linkedin.com/in/samaneh-mohammadi-22879b159/
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Publications
Ask me about
Publications
- Balancing privacy and performance in federated learning : A systematic literatu…
- Balancing Privacy and Accuracy in Federated Learning for Speech Emotion Recogni…
- Optimized Paillier Homomorphic Encryption in Federated Learning for Speech Emot…
- Secure and Efficient Federated Learning by Combining Homomorphic Encryption and…
- Hyperparameters Optimization for Federated Learning System : Speech Emotion Rec…