Fed-DiffLoRA: Personalized Federated Style Transfer for T2I Diffusion Models
Low-Rank Adaptation (LoRA) merging enables efficient customization of T2I diffusion models; nevertheless, centralized aggregation raises serious privacy concerns. While federated LoRA adaptations mitigate these risks, diffusion models present unique challenges: structural heterogeneity and vulnerability to member infer...