3 papers
cs.LG2026
Federated Prompt Learning: A Unified Framework, Empirical Analysis, and Future Directions
Qinglin Yang, Chen Qiu, Hongyuan Zhang +3
Large language models (LLMs) have become core components of cloud-based intelligent services in academia and industry, yet their training and deployment are hindered by high comput…
cs.CR2026
Embedded Blockchain Infrastructure Management (eBIM): A RISC-V-Empowered Hardware--Software Co-Design Framework Towards Trustworthy Blockchain
Qinglin Yang, Yuan Liu, Yaoyao Zhang +4
Blockchain systems are undergoing a fundamental transition from decentralized ledgers for digital assets to general-purpose trust infrastructures for verifiable computation, decent…
cs.CR2026
Neural Honeytrace: Plug&Play Watermarking Framework against Model Extraction Attacks
Yixiao Xu, Binxing Fang, Rui Wang +4
Triggerable watermarking enables model owners to assert ownership against model extraction attacks. However, most existing approaches require additional training, which limits post…