54 citations · 64 across the 6 of their papers we have counts for
6 papers
XMix: Combating Extremely Noisy Labels via Local Smoothness in Self-Supervised Feature Space
Chengqi Li, Yangdi Lu, Zhihao Shi +3
Supervised deep learning models rely on large, accurately labeled datasets, yet noisy annotations are often unavoidable and can severely degrade performance under high noise levels…
A Survey on Large Language Models for Communication, Network, and Service Management: Application Insights, Challenges, and Future Directions
Gordon Owusu Boateng, Hani Sami, Ahmed Alagha +10
The rapid evolution of communication networks in recent decades has intensified the need for advanced Network and Service Management (NSM) strategies to address the growing demands…
CRSFL: Cluster-based Resource-aware Split Federated Learning for Continuous Authentication
Mohamad Wazzeh, Mohamad Arafeh, Hani Sami +4
In the ever-changing world of technology, continuous authentication and comprehensive access management are essential during user interactions with a device. Split Learning (SL) an…
The Metaverse: Survey, Trends, Novel Pipeline Ecosystem & Future Directions
Hani Sami, Ahmad Hammoud, Mouhamad Arafeh +14
The Metaverse offers a second world beyond reality, where boundaries are non-existent, and possibilities are endless through engagement and immersive experiences using the virtual…
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…
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…