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

arXiv:2610.01304v1 Announce Type: cross Abstract: 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 acces