activity
20202023
most citedPerception, performance, and detectability of conversational artificial intelligence across 32 university courses

151 citations · 528 across the 12 of their papers we have counts for

collaborators
Showing 2022Show all

7 papers · 1 filter

cs.LG2022★ 7 cited

Warmup and Transfer Knowledge-Based Federated Learning Approach for IoT Continuous Authentication

Mohamad Wazzeh, Hakima Ould-Slimane, Chamseddine Talhi +2

Continuous behavioural authentication methods add a unique layer of security by allowing individuals to verify their unique identity when accessing a device. Maintaining session au…

cs.AI2022★ 1 cited

ON-DEMAND-FL: A Dynamic and Efficient Multi-Criteria Federated Learning Client Deployment Scheme

Mario Chahoud, Hani Sami, Azzam Mourad +4

In this paper, we increase the availability and integration of devices in the learning process to enhance the convergence of federated learning (FL) models. To address the issue of…

cs.DC2022★ 1 cited

ModularFed: Leveraging Modularity in Federated Learning Frameworks

Mohamad Arafeh, Hadi Otrok, Hakima Ould-Slimane +3

Numerous research recently proposed integrating Federated Learning (FL) to address the privacy concerns of using machine learning in privacy-sensitive firms. However, the standards…

cs.LG2022

FedMint: Intelligent Bilateral Client Selection in Federated Learning with Newcomer IoT Devices

Osama Wehbi, Sarhad Arisdakessian, Omar Abdel Wahab +4

Federated Learning (FL) is a novel distributed privacy-preserving learning paradigm, which enables the collaboration among several participants (e.g., Internet of Things devices) f…

eess.IV2022★ 4 cited

A Federated Learning Scheme for Neuro-developmental Disorders: Multi-Aspect ASD Detection

Hala Shamseddine, Safa Otoum, Azzam Mourad

Autism Spectrum Disorder (ASD) is a neuro-developmental syndrome resulting from alterations in the embryological brain before birth. This disorder distinguishes its patients by spe…

cs.AI2022★ 1 cited

Reward Shaping Using Convolutional Neural Network

Hani Sami, Hadi Otrok, Jamal Bentahar +2

In this paper, we propose Value Iteration Network for Reward Shaping (VIN-RS), a potential-based reward shaping mechanism using Convolutional Neural Network (CNN). The proposed VIN…

cs.AI2022★ 48 cited

Reinforcement Learning Framework for Server Placement and Workload Allocation in Multi-Access Edge Computing

Anahita Mazloomi, Hani Sami, Jamal Bentahar +2

Cloud computing is a reliable solution to provide distributed computation power. However, real-time response is still challenging regarding the enormous amount of data generated by…