FedRAPP: Federated Test-Time Prompt Tuning for Vision-Language Models with Reliability-Aware Prompt Personalization

arXiv:2610.23705 · cs.CV · Submitted 2026-10-16 · Read on arXiv

cs.CV

Submitted: 2026-10-16

Updated: 2026-10-16

Comments: 15 pages, 5 figures and 10 tables

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Personalization — 1× in this paper · explained in 2 episodes
• Vision-language models — 1× in this paper · explained in 2 episodes

Related papers

• Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
• AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories
• Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift
• MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation
• TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
• A Survey on Efficient Vision-Language-Action Models