Zobrazeno 1 - 10
of 4 924
pro vyhledávání: '"Dong, Hai"'
Autor:
Dong, Hai-Hao, Zhu, Yuwei, Cheng, Su-Yi, Zhang, Xingjian, Li, Cheng-Long, Li, Ying-Zhao, Li, Hao, You, Lixing, Ma, Xiongfeng, Zhang, Qiang, Pan, Jian-Wei
Nonlocality, evidenced by the violation of Bell inequalities, not only signifies entanglement but also highlights measurement incompatibility in quantum systems. Utilizing the generalized Clauser-Horne-Shimony-Holt (CHSH) Bell inequality, our high-ef
Externí odkaz:
http://arxiv.org/abs/2408.10489
Fine-tuning large language models (LLMs) with high parameter efficiency for downstream tasks has become a new paradigm. Low-Rank Adaptation (LoRA) significantly reduces the number of trainable parameters for fine-tuning. Although it has demonstrated
Externí odkaz:
http://arxiv.org/abs/2408.06854
In recent years, the widespread adoption of distributed microservice architectures within the industry has significantly increased the demand for enhanced system availability and robustness. Due to the complex service invocation paths and dependencie
Externí odkaz:
http://arxiv.org/abs/2406.19711
We introduce FEDQ-Trust, an innovative data-driven trust prediction approach designed for mobile edge-based Internet of Things (IoT) environments. The decentralized nature of mobile edge environments introduces challenges due to variations in data di
Externí odkaz:
http://arxiv.org/abs/2404.18356
Personalized Federated Learning (PFL) is widely employed in IoT applications to handle high-volume, non-iid client data while ensuring data privacy. However, heterogeneous edge devices owned by clients may impose varying degrees of resource constrain
Externí odkaz:
http://arxiv.org/abs/2403.11464
The dependence of Natural Language Processing (NLP) intelligent software on Large Language Models (LLMs) is increasingly prominent, underscoring the necessity for robustness testing. Current testing methods focus solely on the robustness of LLM-based
Externí odkaz:
http://arxiv.org/abs/2402.13518
Autor:
Zhao, Si-Ran, Zhao, Shuai, Dong, Hai-Hao, Liu, Wen-Zhao, Chen, Jing-Ling, Chen, Kai, Zhang, Qiang, Pan, Jian-Wei
Publikováno v:
Phys. Rev. Lett. 133, 060201 (2024)
Bell's theorem states that quantum mechanical description on physical quantity cannot be fully explained by local realistic theories, and lays solid basis for various quantum information applications. Hardy's paradox is celebrated to be the simplest
Externí odkaz:
http://arxiv.org/abs/2401.03505
Publikováno v:
IEEE Transactions on Mobile Computing,2024
Federated Learning (FL) achieves great popularity in the Internet of Things (IoT) as a powerful interface to offer intelligent services to customers while maintaining data privacy. Under the orchestration of a server, edge devices (also called client
Externí odkaz:
http://arxiv.org/abs/2310.09789
The widespread adoption of DNNs in NLP software has highlighted the need for robustness. Researchers proposed various automatic testing techniques for adversarial test cases. However, existing methods suffer from two limitations: weak error-discoveri
Externí odkaz:
http://arxiv.org/abs/2308.11284
Deep neural networks (DNNs) have been widely and successfully adopted and deployed in various applications of speech recognition. Recently, a few works revealed that these models are vulnerable to backdoor attacks, where the adversaries can implant m
Externí odkaz:
http://arxiv.org/abs/2307.08208