IEEE

Efficient Privacy-Preserving Threshold Private Set Intersection in Cross-Domain Federated Learning Data Alignment

Abstract: Cross-domain federated learning (FL), as an emerging paradigm of distributed machine learning, enables collaborative training across multiple parties while preserving data privacy. However, ...
IEEE

ImagineFSL: Self-Supervised Pretraining Matters on Imagined Base Set for VLM-based Few-shot Learning

Abstract: Adapting CLIP models for few-shot recognition has recently attracted significant attention. Despite considerable progress, these adaptations remain hindered by the pervasive challenge of ...