2 papers
cs.LG2026
FedEMA-Distill: Exponential Moving Average Guided Knowledge Distillation for Robust Federated Learning
Hamza Reguieg, Mohamed El Kamili, Essaid Sabir
Federated learning (FL) often degrades when clients hold heterogeneous non-Independent and Identically Distributed (non-IID) data and when some clients behave adversarially, leadin…
cs.NI2025
Efficient Resource Allocation in 5G Massive MIMO-NOMA Networks: Comparative Analysis of SINR-Aware Power Allocation and Spatial Correlation-Based Clustering
Samar Chebbi, Oussama Habachi, Jean-Pierre Cances +2
With the evolution of 5G networks, optimizing resource allocation has become crucial to meeting the increasing demand for massive connectivity and high throughput. Combining Non-Or…