Cover Image
Read Now

Robust Machine Learning Distributed Methods for Safe AI

Today, machine learning algorithms are often distributed across multiple machines to leverage more computing power and more data. However, the use of a distributed framework entails a variety of security threats. In particular, some of the machines may misbehave and jeopardize the learning procedure...

Full description

Bibliographic Details
Main Authors: Guerraoui, Rachid, Gupta, Nirupam (Author), Pinot, Rafael (Author)
Format: eBook
Language:English
Published: Singapore Springer Nature Singapore 2024, 2024
Edition:1st ed. 2024
Series:Machine Learning: Foundations, Methodologies, and Applications
Subjects:
Computer Security
Machine Learning
Principles And Models Of Security
Cloud Computing
Multiagent Systems
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Chapter 1. Context & Motivation
  • Chapter 2. Basics of Machine Learning
  • Chapter 3. Federated Machine Learning
  • Chapter 4. Fundamentals of Robust Machine Learning
  • Chapter 5. Optimal Robustness
  • Chapter 6. Practical Robustness.

Similar Items