A Survey of Personalized Federated Foundation Models for Privacy-Preserving Recommendation

概要

arXiv:2506.11563v2 Announce Type: replace-cross Abstract: Integrating Foundation Models (FMs) into recommendation systems is an emerging and promising research direction. However, centralized paradigms face growing pressure from privacy concerns and strict regulatory requirements. Federated learnin…