E-book details

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

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

Kiyoshi Nakayama PhD, George Jeno

Ebook
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.
  • 1. Challenges in Big Data and Traditional AI
  • 2. What Is Federated Learning?
  • 3. Workings of the Federated Learning System
  • 4. Federated Learning Server Implementation with Python
  • 5. Federated Learning Client-Side Implementation
  • 6. Running the Federated Learning System and Analyzing the Results
  • 7. Model Aggregation
  • 8. Introducing Existing Federated Learning Frameworks
  • 9. Case Studies with Key Use Cases of Federated Learning Applications
  • 10. Future Trends and Developments
  • 11. Appendix, Exploring Internal Libraries
  • Title: Federated Learning with Python. Design and implement a federated learning system and develop applications using existing frameworks
  • Author: Kiyoshi Nakayama PhD, George Jeno
  • Original title: Federated Learning with Python. Design and implement a federated learning system and develop applications using existing frameworks
  • ISBN: 9781803248752, 9781803248752
  • Date of issue: 2022-10-28
  • Format: Ebook
  • Item ID: e_2acr
  • Publisher: Packt Publishing