Timely anomaly detection in Industrial Internet of Things (IIoT) monitoring requires robust modeling of noisy multivariate sensor streams. Although decomposition-derived residuals provide a potentially useful auxiliary view for multivariate time-series anomaly detection (MTSAD), they are not clean anomaly surrogates in...
Guangxia Xu, Zhuo Ye, Xing Huang et al.· IEEE Internet of Things Jour...· 0 citations
Artificial Intelligence-Generated Content (AIGC) has developed rapidly, with Diffusion Models (DMs) gaining wide attention for their superior image generation capabilities. However, the high computational cost of inference limits their deployment in resource-constrained environments such as edge computing. Cloud-edge c...
Yu Song, Yin-Lin Ren, Shao-Yong Guo et al.· IEEE Transactions on Cogniti...· 0 citations
Low earth orbit (LEO) satellite networks have emerged as a key enabler for delivering real-time and global services to distributed terrestrial nodes, particularly in remote regions. To preserve data privacy, federated learning (FL) provides a decentralized framework for advancing artificial intelligence (AI) in complex...
Pengxiang Qin, Dongyang Xu, Lei Liu et al.· IEEE Transactions on Cogniti...· 0 citations
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