Book contents
- Frontmatter
- Dedication
- Contents
- Contributors
- Preface
- 1 Machine Learning and Communications: An Introduction
- Part I Machine Learning for Wireless Networks
- Part II Wireless Networks for Machine Learning
- 12 Collaborative Learning over Wireless Networks: An Introductory Overview
- 13 Optimized Federated Learning in Wireless Networks with Constrained Resources
- 14 Quantized Federated Learning
- 15 Over-the-Air Computation for Distributed Learning over Wireless Networks
- 16 Federated Knowledge Distillation
- 17 Differentially Private Wireless Federated Learning
- 18 Timely Wireless Edge Inference
- Index
17 - Differentially Private Wireless Federated Learning
from Part II - Wireless Networks for Machine Learning
Published online by Cambridge University Press: 16 June 2022
Book contents
- Frontmatter
- Dedication
- Contents
- Contributors
- Preface
- 1 Machine Learning and Communications: An Introduction
- Part I Machine Learning for Wireless Networks
- Part II Wireless Networks for Machine Learning
- 12 Collaborative Learning over Wireless Networks: An Introductory Overview
- 13 Optimized Federated Learning in Wireless Networks with Constrained Resources
- 14 Quantized Federated Learning
- 15 Over-the-Air Computation for Distributed Learning over Wireless Networks
- 16 Federated Knowledge Distillation
- 17 Differentially Private Wireless Federated Learning
- 18 Timely Wireless Edge Inference
- Index
Summary
A summary is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
- Type
- Chapter
- Information
- Machine Learning and Wireless Communications , pp. 486 - 511Publisher: Cambridge University PressPrint publication year: 2022
- 4
- Cited by