Uplink Scheduling in Federated Learning: an Importance-Aware Approach via Graph Representation Learning

no code implementations • 27 Jan 2023 • Marco Skocaj, Pedro Enrique Iturria Rivera, Roberto Verdone, Melike Erol-Kantarci

Federated Learning (FL) has emerged as a promising framework for distributed training of AI-based services, applications, and network procedures in 6G.

Federated Learning Graph Representation Learning +2

Hierarchical Deep Q-Learning Based Handover in Wireless Networks with Dual Connectivity

no code implementations • 13 Jan 2023 • Pedro Enrique Iturria Rivera, Medhat Elsayed, Majid Bavand, Raimundas Gaigalas, Steve Furr, Melike Erol-Kantarci

Reinforcement learning (RL) has shown its huge potential in wireless scenarios where parameter learning is required given the dynamic nature of such context.

Q-Learning reinforcement-learning +1