Bin Song

FedTuneFM: Federated Fine-Tuning of Foundation Models for Mobile Edge Computing via Adaptive Compression and Attention Alignment

Federated Learning (FL) has emerged as a promising paradigm for fine-tuning large-scale Foundation Models (FMs) in distributed environments while preserving data privacy. However, efficiently adapting FMs in FL remains challenging, especially in mobile edge computing scenarios where devices are resource-constrained and...