20 citations · 44 across the 16 of their papers we have counts for
3 papers · 1 filter
A Comparative Evaluation of FedAvg and Per-FedAvg Algorithms for Dirichlet Distributed Heterogeneous Data
Hamza Reguieg, Mohammed El Hanjri, Mohamed El Kamili +1
In this paper, we investigate Federated Learning (FL), a paradigm of machine learning that allows for decentralized model training on devices without sharing raw data, there by pre…
Vehicles Control: Collision Avoidance using Federated Deep Reinforcement Learning
Badr Ben Elallid, Amine Abouaomar, Nabil Benamar +1
In the face of growing urban populations and the escalating number of vehicles on the roads, managing transportation efficiently and ensuring safety have become critical challenges…
Federated Learning for Water Consumption Forecasting in Smart Cities
Mohammed El Hanjri, Hibatallah Kabbaj, Abdellatif Kobbane +1
Water consumption remains a major concern among the world's future challenges. For applications like load monitoring and demand response, deep learning models are trained using eno…