Optimized Paillier Homomorphic Encryption in Federated Learning for Speech Emotion Recognition. - Samaneh Mohammadi; Sima Sinaei; Ali Balador; Francesco Flammini (COMPSAC, 2023)

Balancing Privacy and Accuracy in Federated Learning for Speech Emotion Recognition. - Samaneh Mohammadi; Mohammadreza Mohammadi; Sima Sinaei; Ali Balador; Ehsan Nowroozi; Francesco Flammini; Mauro Conti (FedCSIS, 2023)

Hyperparameters Optimization for Federated Learning System: Speech Emotion Recognition Case Study. - Kateryna Mishchenko; Samaneh Mohammadi; Mohammadreza Mohammadi; Sima Sinaei (FMEC, 2023)

Secure and Efficient Federated Learning by Combining Homomorphic Encryption and Gradient Pruning in Speech Emotion Recognition. - Samaneh Mohammadi; Sima Sinaei; Ali Balador; Francesco Flammini (ISPEC, 2023)

Balancing privacy and performance in federated learning: A systematic literature review on methods and metrics. - Samaneh Mohammadi; Ali Balador; Sima Sinaei; Francesco Flammini (J. Parallel Distributed Comput., 2024)

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 (Pervasive Mob. Comput., 2025)

Empirical Analysis of Asynchronous Federated Learning on Heterogeneous Devices: Efficiency, Fairness, and Privacy Trade-offs. - Samaneh Mohammadi; Iraklis Symeonidis; Ali Balador; Francesco Flammini (CoRR, 2025)

EFU: Enforcing Federated Unlearning via Functional Encryption. - Samaneh Mohammadi; Vasileios Tsouvalas; Iraklis Symeonidis; Ali Balador; Tanir Ozcelebi; Francesco Flammini; Nirvana Meratnia (CoRR, 2025)