3 citations · 6 across the 5 of their papers we have counts for
5 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…
Communication and Energy Efficient Federated Learning using Zero-Order Optimization Technique
Elissa Mhanna, Mohamad Assaad
Federated learning (FL) is a popular machine learning technique that enables multiple users to collaboratively train a model while maintaining the user data privacy. A significant…
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…
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…