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Stochastic Optimization for Distributed Energy Resources in Smart Grids
This brief focuses on stochastic energy optimization for distributed energy resources in smart grids. Along with a review of drivers and recent developments towards distributed energy resources, this brief presents research challenges of integrating millions of distributed energy resources into the grid. The brief then proposes a novel three-level hierarchical architecture for effectively integrating distributed energy resources into smart grids. Under the proposed hierarchical architecture, distributed energy resource management algorithms at the three levels (i.e., smart home, smart neighborhood, and smart microgrid) are developed in this brief based on stochastic optimization that can handle the involved uncertainties in the system.
Federated Learning for Future Intelligent Wireless Networks
Federated Learning for Future Intelligent Wireless Networks Explore the concepts, algorithms, and applications underlying federated learning In Federated Learning for Future Intelligent Wireless Networks, a team of distinguished researchers deliver a robust and insightful collection of resources covering the foundational concepts and algorithms powering federated learning, as well as explanations of how they can be used in wireless communication systems. The editors have included works that examine how communication resource provision affects federated learning performance, accuracy, convergence, scalability, and security and privacy. Readers will explore a wide range of topics that show how...
Federated Learning for Internet of Medical Things
This book intends to present emerging Federated Learning (FL)-based architectures, frameworks, and models in Internet of Medical Things (IoMT) applications. It intends to build on the basics of the healthcare industry, the current data sharing requirements, and security and privacy issues in medical data sharing. Once IoMT is presented, the book shifts towards the proposal of privacy-preservation in IoMT, and explains how FL presents a viable solution to these challenges. The claims are supported through lucid illustrations, tables, and examples that present effective and secured FL schemes, simulations, and practical discussion on use-case scenarios in a simple manner. The book intends to c...
Federated Learning
Federated Learning: Theory and Practice provides a holistic treatment to federated learning, starting with a broad overview on federated learning as a distributed learning system with various forms of decentralized data and features. A detailed exposition then follows of core challenges and practical modeling techniques and solutions, spanning a variety of aspects in communication efficiency, theoretical convergence and security, viewed from different perspectives. Part II features emerging challenges stemming from many socially driven concerns of federated learning as a future public machine learning service, and Part III and IV present a wide array of industrial applications of federated l...
Book of Zhou and Sui Dynasty
The Twenty-Four Histories (Chinese: 二十四史) are the Chinese official historical books covering a period from 3000 BC to the Ming dynasty in the 17th century. The Han dynasty official Sima Qian established many of the conventions of the genre. Starting with the Tang dynasty, each dynasty established an official office to write the history of its predecessor using official court records. As fixed and edited in the Qing dynasty, the whole set contains 3213 volumes and about 40 million words. It is considered one of the most important sources on Chinese history and culture. The title "Twenty-Four Histories" dates from 1775 which was the 40th year in the reign of the Qianlong Emperor. This ...
Big Data Management and Processing
From the Foreword: "Big Data Management and Processing is [a] state-of-the-art book that deals with a wide range of topical themes in the field of Big Data. The book, which probes many issues related to this exciting and rapidly growing field, covers processing, management, analytics, and applications... [It] is a very valuable addition to the literature. It will serve as a source of up-to-date research in this continuously developing area. The book also provides an opportunity for researchers to explore the use of advanced computing technologies and their impact on enhancing our capabilities to conduct more sophisticated studies." ---Sartaj Sahni, University of Florida, USA "Big Data Manage...
Proceedings of the 23rd Pacific Basin Nuclear Conference, Volume 1
This is the first in a series of three volumes of proceedings of the 23rd Pacific Basin Nuclear Conference (PBNC 2022) which was held by Chinese Nuclear Society. As one in the most important and influential conference series of nuclear science and technology, the 23rd PBNC was held in Beijing and Chengdu, China in 2022 with the theme “Nuclear Innovation for Zero-carbon Future”. For taking solid steps toward the goals of achieving peak carbon emissions and carbon neutrality, future-oriented nuclear energy should be developed in an innovative way for meeting global energy demands and coordinating the deployment mechanism. It brought together outstanding nuclear scientists and technical exp...
Privacy-preserving Computing
Systematically introduces privacy-preserving computing techniques and practical applications for students, researchers, and practitioners.
History of North Dynasty
The Twenty-Four Histories (Chinese: 二十四史) are the Chinese official historical books covering a period from 3000 BC to the Ming dynasty in the 17th century. The Han dynasty official Sima Qian established many of the conventions of the genre. Starting with the Tang dynasty, each dynasty established an official office to write the history of its predecessor using official court records. As fixed and edited in the Qing dynasty, the whole set contains 3213 volumes and about 40 million words. It is considered one of the most important sources on Chinese history and culture. The title "Twenty-Four Histories" dates from 1775 which was the 40th year in the reign of the Qianlong Emperor. This ...
