Diabetic Retinopathy (DR) is a leading cause of preventable blindness, requiring accurate and timely diagnosis for effective treatment. While deep learning models achieve high classification accuracy, they often lack clinical interpretability. Conversely, large language models (LLMs) provide strong reasoning capabiliti...
Sait Suer, R. Aygun, Mahmut Karakaya et al.· 2026 International Conferenc...· 0 citations
Thermo-FL is presented, a thermal-aware federated LoRA fine-tuning framework that uses device temperature as an active control signal for local adapter training and sparse update transmission and introduces TERRA, a robust aggregation pipeline for dynamically sparse LoRA updates.
S. Shrestha, K. Sharif, Zongxing Xie et al.· 0 citations
ClinX is introduced, an end-to-end multimodal PHI sanitization framework for medical image-text data, and results show that OCR-only masking is not sufficient as a standalone solution, and restoration-based sanitization better preserves clinically relevant visual context while sharply reducing recoverable PHI.
S. Shrestha, Zongxing Xie, Chen Zhao et al.· 0 citations
It is suggested that multimodal safety cannot be enforced reliably without modeling the requested operation, the visual target to which it applies, and the confidence of that grounding.
