Description: Further DetailsTitle: Federated Learning with PythonCondition: NewSubtitle: Design and implement a federated learning system and develop applications using existing frameworksAuthor: Kiyoshi Nakayama PhD, George JenoFormat: PaperbackEAN: 9781803247106ISBN: 9781803247106Publisher: Packt Publishing LimitedGenre: Computing & InternetRelease Date: 11/11/2022Description: Learn the essential skills for building an authentic federated learning system with Python and take your machine learning applications to the next levelKey FeaturesDesign distributed systems that can be applied to real-world federated learning applications at scaleDiscover multiple aggregation schemes applicable to various ML settings and applicationsDevelop a federated learning system that can be tested in distributed machine learning settingsBook Description Federated learning (FL) is a paradigm-shifting technology in AI that enables and accelerates machine learning (ML), allowing you to work on private data. It has become a must-have solution for most enterprise industries, making it a critical part of your learning journey. This book helps you get to grips with the building blocks of FL and how the systems work and interact with each other using solid coding examples. FL is more than just aggregating collected ML models and bringing them back to the distributed agents. This book teaches you about all the essential basics of FL and shows you how to design distributed systems and learning mechanisms carefully so as to synchronize the dispersed learning processes and synthesize the locally trained ML models in a consistent manner. This way, you'll be able to create a sustainable and resilient FL system that can constantly function in real-world operations. This book goes further than simply outlining FL's conceptual framework or theory, as is the case with the majority of research-related literature. By the end of this book, you'll have an in-depth understanding of the FL system design and implementation basics and be able to create an FL system and applications that can be deployed to various local and cloud environments.What you will learnDiscover the challenges related to centralized big data ML that we currently face along with their solutionsUnderstand the theoretical and conceptual basics of FLAcquire design and architecting skills to build an FL systemExplore the actual implementation of FL servers and clientsFind out how to integrate FL into your own ML applicationUnderstand various aggregation mechanisms for diverse ML scenariosDiscover popular use cases and future trends in FLWho this book is for This book is for machine learning engineers, data scientists, and artificial intelligence (AI) enthusiasts who want to learn about creating machine learning applications empowered by federated learning. You'll need basic knowledge of Python programming and machine learning concepts to get started with this book.Language: EnglishCountry/Region of Manufacture: GBItem Height: 93mmItem Length: 75mmRelease Year: 2022 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
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Book Title: Federated Learning with Python
Title: Federated Learning with Python
Subtitle: Design and implement a federated learning system and develop appl
EAN: 9781803247106
ISBN: 9781803247106
Genre: Computing & Internet
Release Date: 11/11/2022
Release Year: 2022
Country/Region of Manufacture: GB
Item Height: 93mm
Item Length: 75mm
Publisher: Packt Publishing, The Limited
Publication Year: 2022
Subject: Machine Theory, Intelligence (Ai) & Semantics, Computer Science, General
Number of Pages: 326 Pages
Publication Name: Federated Learning with Python : Design and Implement a Federated Learning System and Develop Applications Using Existing Frameworks
Language: English
Type: Textbook
Author: George Jeno
Subject Area: Computers, Science
Format: Trade Paperback
