Titlebook: Collaborative Computing: Networking, Applications and Worksharing; 16th EAI Internation Honghao Gao,Xinheng Wang,Ning Gu Conference proceed

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https://doi.org/10.1007/978-3-319-46795-5r. Although there have been many researches on deep learning in edge computing. Most of them did not consider the impact of the limited service capabilities of edge devices, the problem of straggler and insecurity of training data on the system. We design a new distributed computing system to train

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Transvestism and Transsexualism,hing method. There exist some service recommendation strategies that mainly focus on high popularity services and ignore non-popular ones. This will not only lead to oligopoly, but also be detrimental to the health of the platform-based service ecosystem. In addition, the health evaluation indicator

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