15 citations · 40 across the 11 of their papers we have counts for
4 papers · 1 filter
Beyond Random Noise: Insights on Anonymization Strategies from a Latent Bandit Study
Alexander Galozy, Sadi Alawadi, Victor Kebande +1
This paper investigates the issue of privacy in a learning scenario where users share knowledge for a recommendation task. Our study contributes to the growing body of research on…
Toward efficient resource utilization at edge nodes in federated learning
Sadi Alawadi, Addi Ait-Mlouk, Salman Toor +1
Federated learning (FL) enables edge nodes to collaboratively contribute to constructing a global model without sharing their data. This is accomplished by devices computing local,…
FedCSD: A Federated Learning Based Approach for Code-Smell Detection
Sadi Alawadi, Khalid Alkharabsheh, Fahed Alkhabbas +4
This paper proposes a Federated Learning Code Smell Detection (FedCSD) approach that allows organizations to collaboratively train federated ML models while preserving their data p…
FedBot: Enhancing Privacy in Chatbots with Federated Learning
Addi Ait-Mlouk, Sadi Alawadi, Salman Toor +1
Chatbots are mainly data-driven and usually based on utterances that might be sensitive. However, training deep learning models on shared data can violate user privacy. Such issues…