Federated Learning From Algorithms To System Implementation
DOWNLOAD
Download Federated Learning From Algorithms To System Implementation PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Federated Learning From Algorithms To System Implementation book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Federated Learning From Algorithms To System Implementation
DOWNLOAD
Author : Liefeng Bo
language : en
Publisher: World Scientific
Release Date : 2024-08-16
Federated Learning From Algorithms To System Implementation written by Liefeng Bo and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-16 with Computers categories.
Authored by researchers and practitioners who build cutting-edge federated learning applications to solve real-world problems, this book covers the spectrum of federated learning technology from concepts and application scenarios to advanced algorithms and finally system implementation in three parts. It provides a comprehensive review and summary of federated learning technology, as well as presenting numerous novel federated learning algorithms which no other books have summarized. The work also references the most recent papers, articles and reviews from the past several years to keep pace with the academic and industrial state of the art of federated learning.The first part lays a foundational understanding of federated learning by going through its definition and characteristics, and also possible application scenarios and related privacy protection technologies. The second part elaborates on some of the federated learning algorithms innovated by JD Technology which encompass both vertical and horizontal scenarios, including vertical federated tree models, linear regression, kernel learning, asynchronous methods, deep learning, homomorphic encryption, and reinforcement learning. The third and final part shifts in scope to federated learning systems — namely JD Technology's own FedLearn system — by discussing its design and implementation using gRPC, in addition to specific performance optimization techniques plus integration with blockchain technology.This book will serve as a great reference for readers who are experienced in federated learning algorithms, building privacy-preserving machine learning applications or solving real-world problems with privacy-restricted scenarios.
Proceedings Of The Second International Conference On Artificial Intelligence And Communication Technologies Icaict 2024
DOWNLOAD
Author : Lakhmi C. Jain
language : en
Publisher: Springer Nature
Release Date : 2025-02-13
Proceedings Of The Second International Conference On Artificial Intelligence And Communication Technologies Icaict 2024 written by Lakhmi C. Jain and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-13 with Technology & Engineering categories.
This book gathers selected papers presented at the International Conference on Artificial Intelligence and Communication Technologies (ICAICT2024), held at Shenzhen, China during June 2024. The book focuses on the newest methods and algorithms in smart wireless communications in the areas of remote sensing and machine learning, intelligent image and data processing, health systems and security, intelligent teaching applications, and many others.
Federated Learning
DOWNLOAD
Author : Heiko Ludwig
language : en
Publisher: Springer Nature
Release Date : 2022-07-07
Federated Learning written by Heiko Ludwig and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-07 with Computers categories.
Federated Learning: A Comprehensive Overview of Methods and Applications presents an in-depth discussion of the most important issues and approaches to federated learning for researchers and practitioners. Federated Learning (FL) is an approach to machine learning in which the training data are not managed centrally. Data are retained by data parties that participate in the FL process and are not shared with any other entity. This makes FL an increasingly popular solution for machine learning tasks for which bringing data together in a centralized repository is problematic, either for privacy, regulatory or practical reasons. This book explains recent progress in research and the state-of-the-art development of Federated Learning (FL), from the initial conception of the field to first applications and commercial use. To obtain this broad and deep overview, leading researchers address the different perspectives of federated learning: the core machine learning perspective, privacy and security, distributed systems, and specific application domains. Readers learn about the challenges faced in each of these areas, how they are interconnected, and how they are solved by state-of-the-art methods. Following an overview on federated learning basics in the introduction, over the following 24 chapters, the reader will dive deeply into various topics. A first part addresses algorithmic questions of solving different machine learning tasks in a federated way, how to train efficiently, at scale, and fairly. Another part focuses on providing clarity on how to select privacy and security solutions in a way that can be tailored to specific use cases, while yet another considers the pragmatics of the systems where the federated learning process will run. The book also covers other important use cases for federated learning such as split learning and vertical federated learning. Finally, the book includes some chapters focusing on applying FL in real-world enterprise settings.
Large Language Models Via Rust
DOWNLOAD
Author : Jaisy Malikulmulki Arasy
language : en
Publisher: RantAI
Release Date : 2025-01-07
Large Language Models Via Rust written by Jaisy Malikulmulki Arasy and has been published by RantAI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-07 with Computers categories.
"LMVR - Large Language Models via Rust" is a pioneering open-source project that bridges the power of foundational models with the robustness of the Rust programming language. It highlights Rust's strengths in performance, safety, and concurrency while advancing the state-of-the-art in AI. Tailored for students, researchers, and professionals, LMVR delivers a comprehensive guide to building scalable, efficient, and secure large language models. By leveraging Rust, this book ensures that cutting-edge research and practical solutions go hand-in-hand. Readers will gain in-depth knowledge of model architectures, training methodologies, and real-world deployments, all while mastering Rust's unique capabilities for AI development.
Federated Learning For Internet Of Medical Things
DOWNLOAD
Author : Pronaya Bhattacharya
language : en
Publisher: CRC Press
Release Date : 2023-06-16
Federated Learning For Internet Of Medical Things written by Pronaya Bhattacharya and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-16 with Computers categories.
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 create opportunities for healthcare communities to build effective FL solutions around the presented themes, and to support work in related areas that will benefit from reading the book. It also intends to present breakthroughs and foster innovation in FL-based research, specifically in the IoMT domain. The emphasis of this book is on understanding the contributions of IoMT to healthcare analytics, and its aim is to provide insights including evolution, research directions, challenges, and the way to empower healthcare services through federated learning. The book also intends to cover the ethical and social issues around the recent advancements in the field of decentralized Artificial Intelligence. The book is mainly intended for undergraduates, post-graduates, researchers, and healthcare professionals who wish to learn FL-based solutions right from scratch, and build practical FL solutions in different IoMT verticals.
Congress On Intelligent Systems
DOWNLOAD
Author : Mukesh Saraswat
language : en
Publisher: Springer Nature
Release Date : 2022-06-30
Congress On Intelligent Systems written by Mukesh Saraswat and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-30 with Technology & Engineering categories.
This book is a collection of selected papers presented at the Second Congress on Intelligent Systems (CIS 2021), organized by Soft Computing Research Society and CHRIST (Deemed to be University), Bengaluru, India during September 4 – 5, 2021. It includes novel and innovative work from experts, practitioners, scientists and decision-makers from academia and industry. It covers topics such as Internet of Things, information security, embedded systems, real-time systems, cloud computing, big data analysis, quantum computing, automation systems, bio-inspired intelligence, cognitive systems, cyber physical systems, data analytics, data/web mining, data science, intelligence for security, intelligent decision making systems, intelligent information processing, intelligent transportation, artificial intelligence for machine vision, imaging sensors technology, image segmentation, convolutional neural network, image/video classification, soft computing for machine vision, pattern recognition, human computer interaction, robotic devices and systems, autonomous vehicles, intelligent control systems, human motor control, game playing, evolutionary algorithms, swarm optimization, neural network, deep learning, supervised learning, unsupervised learning, fuzzy logic, rough sets, computational optimization, and neuro fuzzy systems.
Shaping Cutting Edge Technologies And Applications For Digital Banking And Financial Services
DOWNLOAD
Author : Alex Khang
language : en
Publisher: CRC Press
Release Date : 2025-01-31
Shaping Cutting Edge Technologies And Applications For Digital Banking And Financial Services written by Alex Khang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-31 with Business & Economics categories.
Cutting-edge technologies have recently shown great promise in a variety of activities for enhancing the existing services of a bank such as the improvement of transactions, ensuring that transactions are done correctly, and managing records of services of savings accounts, loan and mortgage services, wealth management, providing credit and debit cards, overdraft services and physical evidence as key drivers of bank ecosystem. In the financial world, emerging analytics and prediction tools can be used to analyze and visualize structured data, such as financial market data, and to forecast future trends that can be supported by leaders to make informed decisions about investment strategies. This book explores the importance of artificial intelligence (AI)-based predictive analytics tools in the financial services industry and their role in combating financial fraud. As fintech continues to revolutionize the financial landscape, it also brings forth new challenges, including sophisticated fraudulent activities. Therefore, this book shares the problem of enhancing fraud detection and prevention through the application of predictive analytics. This book contributes to a deeper understanding of the importance of predictive analytics in the finance field and its pivotal role in cybersecurity and combating fraud. It provides valuable insights for the financial services industry, researchers, and policymakers, aiming to fortify the security and resilience of financial systems in the face of evolving financial fraud challenges. Cuurently, AI has replaced recurrent intellectual decisions due to the availability of information and its access. These changes have created a revolution in financial operations resulting in environmental variations in the banking and finance sectors. Likewise, analytics transformed the not only finance field but also banking as it is increasing the transparency of lending-related activities. In addition, this book provides a set of tools for complex analyses of people-related data and through a variety of statistical analysis techniques ranging from simple descriptive statistics to machine learning, HR analytics enables performance evaluation and increases the transparency of finance transactions as well as the problems, advantages, and disadvantages of new digital transformation. The book is not merely a compilation of technical knowledge; it is a beacon of innovation that beckons readers to envision a future where cutting-edge technologies and finance services intertwine seamlessly. With its engaging and thought-provoking content, the book leaves an indelible impression, urging readers to embrace the transformative power of technology and embark on a collective mission to unlock the full potential of fintech for the betterment of humanity.
Blockchain Systems And Communication Networks From Concepts To Implementation
DOWNLOAD
Author : Mubashir Husain Rehmani
language : en
Publisher: Springer Nature
Release Date : 2021-05-19
Blockchain Systems And Communication Networks From Concepts To Implementation written by Mubashir Husain Rehmani and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-19 with Technology & Engineering categories.
This book provides extensive insights on blockchain systems, starting from a historical perspective and moving towards building foundational knowledge, with focus on communication networks. It covers blockchain applications, algorithms, architectures, design and implementation, and security and privacy issues, providing the reader with a comprehensive overview. Further, it discusses blockchain systems and its integration to communication networks. The book includes hands-on, practical tutorials, self-assessment exercises, and review questions; tips and sample programs are also provided throughout. Complementary supporting material for instructors, including open source programming code for practical tutorials and exercises, is also available. The target audience includes graduate students, professionals, and researchers working in the areas of blockchain systems, distributed ledger technology, computer networks and communications, artificial intelligence, and cybersecurity.
Wireless Algorithms Systems And Applications
DOWNLOAD
Author : Lei Wang
language : en
Publisher: Springer Nature
Release Date : 2022-11-17
Wireless Algorithms Systems And Applications written by Lei Wang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-17 with Technology & Engineering categories.
The three-volume set constitutes the proceedings of the 17th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2022, which was held during November 24th-26th, 2022. The conference took place in Dalian, China.The 95 full and 62 short papers presented in these proceedings were carefully reviewed and selected from 265 submissions. The contributions in cyber-physical systems including intelligent transportation systems and smart healthcare systems; security and privacy; topology control and coverage; energy-efficient algorithms, systems and protocol design
Applied Soft Computing And Communication Networks
DOWNLOAD
Author : Sabu M. Thampi
language : en
Publisher: Springer Nature
Release Date : 2024-07-27
Applied Soft Computing And Communication Networks written by Sabu M. Thampi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-27 with Computers categories.
This book constitutes thoroughly refereed post-conference proceedings of the International Applied Soft Computing and Communication Networks (ACN 2023) held at PES University, Bangalore, India, during December 18–20, 2023. The research papers presented were carefully reviewed and selected from several initial submissions. The papers are organized in topical sections on security and privacy, network management and software-defined networks, Internet of Things (IoT) and cyber-physical systems, intelligent distributed systems, mobile computing and vehicle communications, and emerging topics. The book is directed to the researchers and scientists engaged in various fields of intelligent systems.