Client Selection in Federated Learning based on Gradients Importance. - Ouiame Marnissi; Hajar El Hammouti; El Houcine Bergou (CoRR, 2021)

Efficient Client Sampling with Compression in Heterogeneous Federated Learning. - Ouiame Marnissi; Hajar El Hammouti; El Houcine Bergou (INFOCOM (Workshops), 2024)

Latency Minimization in Heterogeneous Federated Learning through Joint Compression and Resource Allocation. - Ouiame Marnissi; Hajar El Hammouti; El Houcine Bergou (VTC Fall, 2024)

Semantic-Aware Resource Allocation in Constrained Networks with Limited User Participation. - Ouiame Marnissi; Hajar El Hammouti; El Houcine Bergou (WCNC, 2024)

Joint Probability Selection and Power Allocation for Federated Learning. - Ouiame Marnissi; Hajar El Hammouti; El Houcine Bergou (CoRR, 2024)

Adaptive Sparsification and Quantization for Enhanced Energy Efficiency in Federated Learning. - Ouiame Marnissi; Hajar El Hammouti; El Houcine Bergou (IEEE Open J. Commun. Soc., 2024)