This paper considers the security of non-minimum phase systems, a typical kind of cyber-physical systems. Non-minimum phase systems are characterized by unstable zeros in their transfer functions, making them particul...
详细信息
A reconfigurable photonic integrated circuit was developed to operate as an ultra-broadband spectrometer on SiN chip resolving spectral lines with picometer precision and thermal stability of±2℃.
A reconfigurable photonic integrated circuit was developed to operate as an ultra-broadband spectrometer on SiN chip resolving spectral lines with picometer precision and thermal stability of±2℃.
Cryptocurrencies, particularly Bitcoin, have garnered attention for their potential in anonymous transactions. However, their anonymity has often been compromised by deanonymization attacks. To counter this, mixing se...
详细信息
Recommender systems are effective in mitigating information overload, yet the centralized storage of user data raises significant privacy concerns. Cross-user federated recommendation(CUFR) provides a promising distri...
详细信息
Recommender systems are effective in mitigating information overload, yet the centralized storage of user data raises significant privacy concerns. Cross-user federated recommendation(CUFR) provides a promising distributed paradigm to address these concerns by enabling privacy-preserving recommendations directly on user devices. In this survey, we review and categorize current progress in CUFR, focusing on four key aspects: privacy, security, accuracy, and efficiency. Firstly,we conduct an in-depth privacy analysis, discuss various cases of privacy leakage, and then review recent methods for privacy protection. Secondly, we analyze security concerns and review recent methods for untargeted and targeted *** untargeted attack methods, we categorize them into data poisoning attack methods and parameter poisoning attack methods. For targeted attack methods, we categorize them into user-based methods and item-based methods. Thirdly,we provide an overview of the federated variants of some representative methods, and then review the recent methods for improving accuracy from two categories: data heterogeneity and high-order information. Fourthly, we review recent methods for improving training efficiency from two categories: client sampling and model compression. Finally, we conclude this survey and explore some potential future research topics in CUFR.
Mode division multiplexing (MDM) technology represents a significant advancement in high-capacity optical data transmission in photonics integrated circuits (PICs). Among the critical components in MDM architecture ar...
详细信息
Global navigation satellite systems (GNSSs) face significant challenges in urban and suburban areas due to nonline-of-sight (NLOS) propagation, multipath effects, and low received power levels, resulting in highly non...
详细信息
Digital twin (DT) technology, which creates virtual representations of physical entities and systems, has emerged as a transformative enabler across diverse domains, including manufacturing, healthcare, urban planning...
详细信息
Digital twin (DT) technology, which creates virtual representations of physical entities and systems, has emerged as a transformative enabler across diverse domains, including manufacturing, healthcare, urban planning, and environmental management. When integrated with pervasive intelligence — the embedding of artificial intelligence (AI) and machine learning (ML) algorithms into physical and digital environments — this synergy significantly amplifies innovation potential. In the context of sixth-generation (6G) wireless networks, DTs serve as real-time simulators of network behaviors, allowing AI to continuously learn from real-world data, optimize network performance, and proactively identify potential issues.
This survey article focuses on the emerging connections between machine learning and data compression. While the fundamental limits of classical (lossy) data compression are well-established through rate-distortion th...
详细信息
This paper proposes a highly reliable multi-fault diagnosis scheme for low-speed rolling element bearings using an effective time–frequency envelope analysis and a Bayesian inference based one-against-all support vec...
详细信息
暂无评论