Edge computing.

Mobile edge artificial intelligenceopportunities and challenges / by: (Electronic resources)

Edge learning for distributed big data analyticstheory, algorithms, and system design / by: (Electronic resources)

Computing at the edgenew challenges for service provision / by: (Electronic resources)

Federated learning over wireless edge networks by: (Electronic resources)

Energy efficient computation offloading in mobile edge computing by: (Electronic resources)

Edge intelligencefrom theory to practice / by: (Electronic resources)

EdgeAI for Algorithmic Government by: (Electronic resources)

Predictive analytics in cloud, fog, and edge computingperspectives and practices of blockchain, IoT, and 5G / by: (Electronic resources)

Explainable edge AIa futuristic computing perspective / by: (Electronic resources)

Social edge computingempowering human-centric edge computing, learning and intelligence / by: (Electronic resources)

Artificial intelligence for edge computing by: (Electronic resources)

IoT edge intelligence by: (Electronic resources)

Dew computingthe sustainable IoT perspectives / by: (Electronic resources)

Towards heterogeneous multi-core systems-on-chip for edge machine learningjourney from single-core acceleration to multi-core heterogeneous systems / by: (Electronic resources)

Device-edge-cloud continuumparadigms, architectures and applications / by: (Electronic resources)

Edge intelligent computing systems in different domains by: (Electronic resources)