Distributed Machine Learning And Gradient Optimization
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Distributed Machine Learning And Gradient Optimization
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Author : Jiawei Jiang
language : en
Publisher: Springer Nature
Release Date : 2022-02-23
Distributed Machine Learning And Gradient Optimization written by Jiawei Jiang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-23 with Computers categories.
This book presents the state of the art in distributed machine learning algorithms that are based on gradient optimization methods. In the big data era, large-scale datasets pose enormous challenges for the existing machine learning systems. As such, implementing machine learning algorithms in a distributed environment has become a key technology, and recent research has shown gradient-based iterative optimization to be an effective solution. Focusing on methods that can speed up large-scale gradient optimization through both algorithm optimizations and careful system implementations, the book introduces three essential techniques in designing a gradient optimization algorithm to train a distributed machine learning model: parallel strategy, data compression and synchronization protocol. Written in a tutorial style, it covers a range of topics, from fundamental knowledge to a number of carefully designed algorithms and systems of distributed machine learning. It will appeal to a broad audience in the field of machine learning, artificial intelligence, big data and database management.
Optimization Algorithms For Distributed Machine Learning
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Author : Gauri Joshi
language : en
Publisher: Springer Nature
Release Date : 2022-11-25
Optimization Algorithms For Distributed Machine Learning written by Gauri Joshi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-25 with Computers categories.
This book discusses state-of-the-art stochastic optimization algorithms for distributed machine learning and analyzes their convergence speed. The book first introduces stochastic gradient descent (SGD) and its distributed version, synchronous SGD, where the task of computing gradients is divided across several worker nodes. The author discusses several algorithms that improve the scalability and communication efficiency of synchronous SGD, such as asynchronous SGD, local-update SGD, quantized and sparsified SGD, and decentralized SGD. For each of these algorithms, the book analyzes its error versus iterations convergence, and the runtime spent per iteration. The author shows that each of these strategies to reduce communication or synchronization delays encounters a fundamental trade-off between error and runtime.
Distributed Optimization And Learning
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Author : Zhongguo Li
language : en
Publisher: Elsevier
Release Date : 2024-07-18
Distributed Optimization And Learning written by Zhongguo Li and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-18 with Technology & Engineering categories.
Distributed Optimization and Learning: A Control-Theoretic Perspective illustrates the underlying principles of distributed optimization and learning. The book presents a systematic and self-contained description of distributed optimization and learning algorithms from a control-theoretic perspective. It focuses on exploring control-theoretic approaches and how those approaches can be utilized to solve distributed optimization and learning problems over network-connected, multi-agent systems. As there are strong links between optimization and learning, this book provides a unified platform for understanding distributed optimization and learning algorithms for different purposes. - Provides a series of the latest results, including but not limited to, distributed cooperative and competitive optimization, machine learning, and optimal resource allocation - Presents the most recent advances in theory and applications of distributed optimization and machine learning, including insightful connections to traditional control techniques - Offers numerical and simulation results in each chapter in order to reflect engineering practice and demonstrate the main focus of developed analysis and synthesis approaches
Machine Learning And Wireless Communications
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Author : Yonina C. Eldar
language : en
Publisher: Cambridge University Press
Release Date : 2022-08-04
Machine Learning And Wireless Communications written by Yonina C. Eldar and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-04 with Computers categories.
Discover connections between these transformative and impactful technologies, through comprehensive introductions and real-world examples.
Optimization And Applications
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Author : Nicholas Olenev
language : en
Publisher: Springer Nature
Release Date : 2023-01-02
Optimization And Applications written by Nicholas Olenev and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-02 with Mathematics categories.
This book constitutes the refereed proceedings of the 13th International Conference on Optimization and Applications, OPTIMA 2022, held in Petrovac, Montenegro, during September 26–30, 2022. The 17 full papers and presented were carefully reviewed and selected from 43 submissions. They were organized into the following as follows: mathematical programming; global optimization; discrete and combinatorial optimization; optimal control; optimization and data analysis; and game theory and mathematical economics.
Distributed Optimization In Networked Systems
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Author : Qingguo Lü
language : en
Publisher: Springer Nature
Release Date : 2023-02-08
Distributed Optimization In Networked Systems written by Qingguo Lü and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-08 with Computers categories.
This book focuses on improving the performance (convergence rate, communication efficiency, computational efficiency, etc.) of algorithms in the context of distributed optimization in networked systems and their successful application to real-world applications (smart grids and online learning). Readers may be particularly interested in the sections on consensus protocols, optimization skills, accelerated mechanisms, event-triggered strategies, variance-reduction communication techniques, etc., in connection with distributed optimization in various networked systems. This book offers a valuable reference guide for researchers in distributed optimization and for senior undergraduate and graduate students alike.
Electronic Engineering And Informatics
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Author : G. Izat Rashed
language : en
Publisher: IOS Press
Release Date : 2024-04-11
Electronic Engineering And Informatics written by G. Izat Rashed and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-11 with Computers categories.
Electronic engineering and informatics are disciplines which underpin the complex digital technology on which we have all now come to depend. This book presents the proceedings of ICEEI 2023, the 5th International Conference on Electronic Engineering and Informatics, which took place as a hybrid event from 23 to 25 June 2023 in Wuhan, China, with around 150 participating delegates. The conference brought together leading academics, researchers and practitioners from around the world to present recent innovations, trends, and concerns, and discuss practical challenges and solutions. It also gave delegates the opportunity to share their experience and research results and exchange views on all aspects of electronic engineering and informatics. A total of 266 submissions were received for the conference, of which 93 were accepted for presentation and publication after a careful double-blind peer review process. The papers are divided into 3 sections, covering electronic device simulation and system modelling; target recognition and information decision making; and network data processing and security detection. Providing a current overview of advances and research results in the relevant fields, the book will be of interest to those working in all areas of electronic engineering and informatics.
Game Theoretic Learning And Distributed Optimization In Memoryless Multi Agent Systems
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Author : Tatiana Tatarenko
language : en
Publisher: Springer
Release Date : 2017-09-19
Game Theoretic Learning And Distributed Optimization In Memoryless Multi Agent Systems written by Tatiana Tatarenko and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-19 with Science categories.
This book presents new efficient methods for optimization in realistic large-scale, multi-agent systems. These methods do not require the agents to have the full information about the system, but instead allow them to make their local decisions based only on the local information, possibly obtained during communication with their local neighbors. The book, primarily aimed at researchers in optimization and control, considers three different information settings in multi-agent systems: oracle-based, communication-based, and payoff-based. For each of these information types, an efficient optimization algorithm is developed, which leads the system to an optimal state. The optimization problems are set without such restrictive assumptions as convexity of the objective functions, complicated communication topologies, closed-form expressions for costs and utilities, and finiteness of the system’s state space.
Advances In Artificial Intelligence And Security
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Author : Xingming Sun
language : en
Publisher: Springer Nature
Release Date : 2021-06-29
Advances In Artificial Intelligence And Security written by Xingming Sun and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-29 with Computers categories.
The 3-volume set CCIS 1422, CCIS 1423 and CCIS 1424 constitutes the refereed proceedings of the 7th International Conference on Artificial Intelligence and Security, ICAIS 2021, which was held in Dublin, Ireland, in July 2021. The total of 131 full papers and 52 short papers presented in this 3-volume proceedings was carefully reviewed and selected from 1013 submissions. The papers were organized in topical sections as follows: Part I: artificial intelligence; Part II: artificial intelligence; big data; cloud computing and security internet; Part III: cloud computing and security; encryption and cybersecurity; information hiding; IoT security.
Green Pervasive And Cloud Computing
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Author : Zhiwen Yu
language : en
Publisher: Springer Nature
Release Date : 2020-12-04
Green Pervasive And Cloud Computing written by Zhiwen Yu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-04 with Computers categories.
This book constitutes the refereed proceedings of the 15th International Conference on Green, Pervasive, and Cloud Computing, GPC 2020, held in Xi'an, China, in November 2020. The 30 full papers presented in this book together with 8 short papers were carefully reviewed and selected from 96 submissions. They cover the following topics: Device-free Sensing; Machine Learning; Recommendation Systems; Urban Computing; Human Computer Interaction; Internet of Things and Edge Computing; Positioning; Applications of Computer Vision; CrowdSensing; and Cloud and Related Technologies.