Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges

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Data Security and Privacy Challenges of Computing Offloading in FINs

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Dual Dynamic Inference: Enabling More Efficient, Adaptive, and Controllable Deep Inference

(2020) Yue Wang et al.   IEEE Journal of Selected Topics in Signal Processing

Boomerang: On-Demand Cooperative Deep Neural Network Inference for Edge Intelligence on the Industrial Internet of Things

(2019) Liekang Zeng et al.   IEEE NETWORK

Understanding autoencoders with information theoretic concepts

(2019) Shujian Yu et al.   NEURAL NETWORKS

Deep Learning With Edge Computing: A Review

(2019) Jiasi Chen et al.   PROCEEDINGS OF THE IEEE

Machine learning for wireless communications in the Internet of Things: A comprehensive survey

(2019) Jithin Jagannath et al.   Ad Hoc Networks

On the information bottleneck theory of deep learning

(2019) Andrew M Saxe et al.   JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT

Multimedia Big Data Analytics

(2018) Samira Pouyanfar et al.   ACM COMPUTING SURVEYS

Understanding the Limits of LoRaWAN

(2017) Ferran Adelantado et al.   IEEE COMMUNICATIONS MAGAZINE

A Survey on Mobile Edge Computing: The Communication Perspective

(2017) Yuyi Mao et al.   IEEE Communications Surveys and Tutorials

Survey of Important Issues in UAV Communication Networks

(2016) Lav Gupta et al.   IEEE Communications Surveys and Tutorials

ImageNet Large Scale Visual Recognition Challenge

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