4 citations · 4 across the 3 of their papers we have counts for
3 papers
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…
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…
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…