机译:Inverse-GMM: A Latency Distribution Shaping Method for Industrial Cooperative Deep Learning Systems
School of Electronic and Electrical Communication Engineering, University of Chinese Academy of Sciences, Beijing, China;
Chinese Academy of Sciences, Aerospace Information Research Institute, Beijing, China;
Department of Mathematics, Physics and Electrical Engineering, Northumbria University, Newcastle-upon-Tyne, U.K.Chinese Academy of Sciences, Shanghai Institute of Microsystem and Information Technology (SIMIT), Shanghai, China|Shanghai Research and Development Center for Micro-Nano Electronics, Shanghai, ChinaChinese Academy of Sciences, Shanghai Institute of Microsystem and Information Technology (SIMIT), Shanghai, China;
Deep learning; Sensors; Computational modeling; Fading channels; Wireless communication; Shape; Wireless sensor networks;