There's still time! Find the perfect Father's Day gift with store pickup | Shop NowThere's still time! Find the perfect Father's Day gift with store pickup | Shop Now
Add Item to wish listAdd Item to wish list

Federated Learning Systems: Towards Privacy-Preserving Distributed AI

By Muhammad Habib ur Rehman (Editor), Mohamed Medhat Gaber (Editor)
eBook
$199.00
By Muhammad Habib ur Rehman (Editor), Mohamed Medhat Gaber (Editor)
Membership Card Icon
Collect stamps to save with Rewards. 10 stamps = $5. Learn More
Formats
See All Formats & Editions
Select a store to view item availability.

Available on compatible , the free NOOK App, and in My Digital Library

NOOK App

Download NOOK app

NOOK Devices

NOOK eReaders

  • NOOK GlowLight 4 Plus
  • NOOK GlowLight 4e
  • NOOK GlowLight 4
  • NOOK GlowLight Plus 7.8"
  • NOOK GlowLight 3
  • NOOK GlowLight Plus 6"

NOOK Tablets

  • NOOK 8.7" Reading Tablet
  • NOOK 9" Lenovo Tablet
  • NOOK 10" HD Lenovo Tablet
  • NOOK Tablet 7" & 10.1"
  • NOOK by Samsung Galaxy Tab 7.0 [Tab A and Tab 4]
  • NOOK by Samsung [Tab 4 10.1, S2 & E]

Free NOOK Reading Apps

  • NOOK for iOS
  • NOOK for Android

BN.com website

Go to your Digital Library in My Account

Limit 1 per customer

This book dives deep into both industry implementations and cutting-edge research driving the Federated Learning (FL) landscape forward. FL enables decentralized model training, preserves data privacy, and enhances security without relying on centralized datasets. Industry pioneers like NVIDIA have spearheaded the development of general-purpose FL platforms, revolutionizing how companies harness distributed data. Alternately, for medical AI, FL platforms, such as FedBioMed, enable collabora...

Categories

Science & TechnologyComputersEngineeringTechnologyRobotics & Artificial IntelligenceArtificial Intelligence (AI)Artificial Intelligence - General