E. Paolini

Federated Learning for LLMs over Mobile Networks: Issues and Solutions in the RAN Transport

Federated LLM fine-tuning enables large models to be adapted using private and geographically distributed data at the network edge, creating recurring and deadline-sensitive communication workloads across access and transport networks. This challenge is particularly relevant in mobile RANs, where wireless variability,...