3 citations · 7 across the 6 of their papers we have counts for
6 papers
Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences
Adnan Shahid, Adrian Kliks, Ahmed Al-Tahmeesschi +132
This white paper discusses the role of large-scale AI in the telecommunications industry, with a specific focus on the potential of generative AI to revolutionize network functions…
Single Point-Based Distributed Zeroth-Order Optimization with a Non-Convex Stochastic Objective Function
Elissa Mhanna, Mohamad Assaad
Zero-order (ZO) optimization is a powerful tool for dealing with realistic constraints. On the other hand, the gradient-tracking (GT) technique proved to be an efficient method for…
Rendering Wireless Environments Useful for Gradient Estimators: A Zero-Order Stochastic Federated Learning Method
Elissa Mhanna, Mohamad Assaad
Cross-device federated learning (FL) is a growing machine learning setting whereby multiple edge devices collaborate to train a model without disclosing their raw data. With the gr…
Initial Access Optimization for RIS-assisted Millimeter Wave Wireless Networks
Charbel Bou Chaaya, Mohamad Assaad, Tijani Chahed
Reconfigurable Intelligent Surfaces (RIS) are considered a key enabler to achieve the vision of Smart Radio Environments, where the propagation environment can be programmed and co…
RIS-assisted Cell-Free MIMO with Dynamic Arrivals and Departures of Users: A Novel Network Stability Approach
Charbel Bou Chaaya, Mohamad Assaad, Tijani Chahed
Reconfigurable Intelligent Surfaces (RIS) have recently emerged as a hot research topic, being widely advocated as a candidate technology for next generation wireless communication…
Zero-Order One-Point Estimate with Distributed Stochastic Gradient-Tracking Technique
Elissa Mhanna, Mohamad Assaad
In this work, we consider a distributed multi-agent stochastic optimization problem, where each agent holds a local objective function that is smooth and convex, and that is subjec…