251 citations · 264 across the 17 of their papers we have counts for
3 papers · 1 filter
Federated Deep Reinforcement Learning for Open RAN Slicing in 6G Networks
Amine Abouaomar, Afaf Taik, Abderrahime Filali +1
Radio access network (RAN) slicing is a key element in enabling current 5G networks and next-generation networks to meet the requirements of different services in various verticals…
Clustered Vehicular Federated Learning: Process and Optimization
Afaf Taik, Zoubeir Mlika, Soumaya Cherkaoui
Federated Learning (FL) is expected to play a prominent role for privacy-preserving machine learning (ML) in autonomous vehicles. FL involves the collaborative training of a single…
Electrical Load Forecasting Using Edge Computing and Federated Learning
Afaf Taik, Soumaya Cherkaoui
In the smart grid, huge amounts of consumption data are used to train deep learning models for applications such as load monitoring and demand response. However, these applications…