Balancing Privacy and Performance in Federated Learning: a Systematic Literature Review on Methods and Metrics (Mar 2024) Samaneh Mohammadi, Ali Balador, Sima Sinaei, Francesco Flammini Journal of Parallel and Distributed Computing (JPDC)
EncCluster: Scalable Functional Encryption in Federated Learning through Weight Clustering and Probabilistic Filters Vasileios Tsouvalas , Samaneh Mohammadi, Ali Balador, Tanir Ozcelebi , Francesco Flammini, Nirvana Meratnia
EncCluster: Bringing Functional Encryption in Federated Foundational Models (Dec 2024) Vasileios Tsouvalas , Samaneh Mohammadi, Ali Balador, Tanir Ozcelebi , Francesco Flammini, Nirvana Meratnia 2024 Conference on Neural Information Processing Systems (NeurIPS 2024)
Hyperparameters Optimization for Federated Learning System: Speech Emotion Recognition Case Study (Oct 2023) Kateryna Mishchenko , Samaneh Mohammadi, Mohammadreza Mohammadi , Sima Sinaei The Eighth IEEE International Conference on Fog and Mobile Edge Computing (FMEC 2023)
Balancing Privacy and Accuracy in Federated Learning for Speech Emotion Recognition (Sep 2023) Samaneh Mohammadi, Mohammadreza Mohammadi , Sima Sinaei, Ali Balador, Ehsan Nowroozi , Francesco Flammini, Mauro Conti 18th Conference on Computer Science and Intelligence Systems (FedCSIS 2023)
Optimized Paillier Homomorphic Encryption in Federated Learning for Speech Emotion Recognition (Aug 2023) Samaneh Mohammadi, Sima Sinaei, Ali Balador, Francesco Flammini IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC 2023)
Secure and Efficient Federated Learning by Combining Homomorphic Encryption and Gradient Pruning in Speech Emotion Recognition (Aug 2023) Samaneh Mohammadi, Sima Sinaei, Ali Balador, Francesco Flammini 18th International Conference on Information Security Practice and Experience (ISPEC 2023)