http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Intelligent resource scheduling in end-edge-cloud networks
This book investigates technologies that enable more powerful resources and improve resource utilization for end-edge-cloud networks.The authors cover tools such as federated learning (FL) and real-time inference in industrial IoT and they present a novel communication and computation integration architecture for end-edge-cloud networks.
Introduction -- Overview of End-Edge-Cloud Networks -- Communication and Computation Integration Network Architecture -- Multi-Dimensional Resource Adaption for Hierarchical Federated Learning -- Deterministic Transmission Scheduling for Time-Sensitive Federated Learning -- End-Edge-Cloud Orchestration for Collaborative DNN Inference -- Discussion of Future Directions -- Conclusion.
Weiting Zhang, Dong Yang, Shuai Gao, Hongke Zhang, Xuemin Shen.
Includes bibliographical references and index.