20 citations · 29 across the 15 of their papers we have counts for
Showing 2024Show all
2 papers · 1 filter
cs.NI2024
Dynamics of Resource Allocation in O-RANs: An In-depth Exploration of On-Policy and Off-Policy Deep Reinforcement Learning for Real-Time Applications
Manal Mehdaoui, Amine Abouaomar
Deep Reinforcement Learning (DRL) is a powerful tool used for addressing complex challenges in mobile networks. This paper investigates the application of two DRL models, on-policy…
cs.LG2024
Efficient Collaborations through Weight-Driven Coalition Dynamics in Federated Learning Systems
Mohammed El Hanjri, Hamza Reguieg, Adil Attiaoui +3
In the era of the Internet of Things (IoT), decentralized paradigms for machine learning are gaining prominence. In this paper, we introduce a federated learning model that capital…