Titlebook: Social Edge Computing; Empowering Human-Cen Dong Wang,Daniel ‘Yue‘ Zhang Book 2023 The Editor(s) (if applicable) and The Author(s), under e

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Privacy in Social Edge,Health Detection Systems (AHDS). In particular, we present FedSens, a new federated learning framework dedicated to addressing the imbalanced data problem in AHDS applications with explicit considerations of participant privacy and device resource constraints.

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Conclusion and Remaining Challenges,fferent research communities (e.g., distributed computing, IoT and cyber-physical systems, social computing, AI, human-computer interaction, privacy and security, etc.) will keep on increasing and more fundamental and interesting research work will be carried out in future.

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Social Edge Trends and Applications, brings new opportunities for human-centric applications (e.g., social sensing, smart mobile computing, edge intelligence). By coupling those applications with edge computing, the individually owned edge devices form a federation of computational nodes where the data collected from them can be proce

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Real-Time AI in Social Edge,m. In this chapter, we shift our focus to real-time AI in the social edge that investigates the challenge of building time-sensitive AI models in SEC. In particular, we focus on a widely adopted AI model—deep neural networks (DNN), and review a novel optimal batching algorithm called EdgeBatch that