FAQs

How do I buy and download an eBook?

Where there is an eBook version of a title available, you can buy it from the book details for that title. Add either the standalone eBook or the eBook and print book bundle to your shopping cart. Your eBook will show in your cart as a product on its own. After completing checkout and payment in the normal way, you will receive your receipt on the screen containing a link to a personalised PDF download file. This link will remain active for 30 days. You can download backup copies of the file by logging in to your account at any time.

If you already have Adobe reader installed, then clicking on the link will download and open the PDF file directly. If you don't, then save the PDF file on your machine and download the Reader to view it.

Please Note: Packt eBooks are non-returnable and non-refundable.

Packt eBook and Licensing When you buy an eBook from Packt Publishing, completing your purchase means you accept the terms of our licence agreement. Please read the full text of the agreement. In it we have tried to balance the need for the ebook to be usable for you the reader with our needs to protect the rights of us as Publishers and of our authors. In summary, the agreement says:

You may make copies of your eBook for your own use onto any machine
You may not pass copies of the eBook on to anyone else

How can I make a purchase on your website?

If you want to purchase a video course, eBook or Bundle (Print+eBook) please follow below steps:

Register on our website using your email address and the password.
Search for the title by name or ISBN using the search option.
Select the title you want to purchase.
Choose the format you wish to purchase the title in; if you order the Print Book, you get a free eBook copy of the same title.
Proceed with the checkout process (payment to be made using Credit Card, Debit Cart, or PayPal)

Where can I access support around an eBook?

If you experience a problem with using or installing Adobe Reader, the contact Adobe directly.
To view the errata for the book, see www.packtpub.com/support and view the pages for the title you have.
To view your account details or to download a new copy of the book go to www.packtpub.com/account
To contact us directly if a problem is not resolved, use www.packtpub.com/contact-us

What eBook formats do Packt support?

Our eBooks are currently available in a variety of formats such as PDF and ePubs. In the future, this may well change with trends and development in technology, but please note that our PDFs are not Adobe eBook Reader format, which has greater restrictions on security.

You will need to use Adobe Reader v9 or later in order to read Packt's PDF eBooks.

What are the benefits of eBooks?

You can get the information you need immediately
You can easily take them with you on a laptop
You can download them an unlimited number of times
You can print them out
They are copy-paste enabled
They are searchable
There is no password protection
They are lower price than print
They save resources and space

What is an eBook?

Packt eBooks are a complete electronic version of the print edition, available in PDF and ePub formats. Every piece of content down to the page numbering is the same. Because we save the costs of printing and shipping the book to you, we are able to offer eBooks at a lower cost than print editions.

When you have purchased an eBook, simply login to your account and click on the link in Your Download Area. We recommend you saving the file to your hard drive before opening it.

For optimal viewing of our eBooks, we recommend you download and install the free Adobe Reader version 9.

Filter reviews by

All

Amazon verified reviews

Amazon Customer Jan 09, 2023

I found this book really useful to see what kind of use cases are out there and currently pursued especially in industry not just in academia. As the federated learning (FL) technology is becoming hot in the field of AI, the business opportunities seem to be also very big. I have been involved in many AI projects and most of the projects seem to be failing just because the AI does not perform. I was looking at federated learning as a way to breakthrough this challenge. This book gives deeper insights not just only for the technological frameworks of FL but also for the potential businesses that the FL can contribute to.For example, the healthcare field like drug recovery is a well-known area that FL is used, but the real industry FL projects like robotics and autonomous vehicles cannot be found in any other books or web resources. They found solid applicability to those fields and encourage the readers to look into new fields not restricted within the established fields like healthcare and finances.I highly recommend this book not only just for AI engineers but also for business leaders to get a deeper insight about where AI is headed for.

Amazon Verified review

Steven Fernandes Feb 23, 2023

This comprehensive guide provides readers with the necessary building blocks to design and implement distributed systems that can be applied to real-world federated learning applications at scale.

YYY-SSS Feb 15, 2024

"Federated Learning with Python" is praised for its practical, accessible approach to federated learning, making it an excellent resource for both researchers and practitioners. The book stands out for its clarity in explaining complex concepts and offering a hands-on guide to developing federated learning applications using Python. It goes beyond theory, providing real-life examples, code snippets, and detailed algorithm explanations. This makes it invaluable for those interested in applying federated learning in real-world projects, addressing challenges such as performance optimization and data heterogeneity. It's highlighted as a must-read for anyone looking to explore federated learning's potential, ensuring readers can develop innovative, privacy-preserving applications.

Dror Dec 30, 2022

Federated Learning (FL) is an emerging, disruptive technology that radically changes the way enterprises in certain industries work with data and enable data privacy. If you're a data scientist or machine learning (ML) expert working on healthcare, finance or IoT applications, this book is a must-read. For all other ML practitioners, I highly recommend this book as the best resource on the market to get acquainted with the emerging and increasingly important technology of FL and get practical advice on how it can be implemented in real-world applications.The book goes both broadly and deeply into the different aspects of FL. It provides an in-depth coverage of the foundations of FL, the design and implementation of FL systems (both server- and client-side), and production-related aspects of FL. It also provides a nice overview of future trends in FL.In contrast to many other resources on FL, this book covers both theoretical and practical aspects of FL. It begins with the necessary foundations, and then guides the reader on building an application based on FL that can be deployed in either local or cloud environments.It will prove to be a highly useful resource for learning FL for any data scientist, ML engineer or AI practitioner with basic familiarity with ML and the Python programming language.Highly recommended!

Colby Mainard Mar 23, 2024

And looks forward at new ML architectures that aren’t widely discussed.

Federated Learning with Python: Design and implement a federated learning system and develop applications using existing frameworks

What do you get with eBook?