We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
£115.51
Springer - Federated Learning: Fundamentals and Advances Book
Price data last checked 52 day(s) ago - refreshing...
We'll watch every seller, every day. One email when your price arrives.
About as cheap as it gets. The only time it was cheaper was 2 months ago.
£116 today · all-time low £115 (Mar 2026) · usually the usual
NEW HERE?
Amazon shows you one price. We show you all of them.
Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.
WHAT'S ON THIS PAGE
when this has been cheap or pricey
where the price is heading next
all-time high & low, recent range
name your number, we'll email you
Price History & Forecast
Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.
Last 39 days • 39 data points (No recent data available)
Price Distribution
Price distribution over 39 days • 2 price levels
Price Analysis
Most common price: £115 (25 days, 64.1%)
Price range: £115 - £121
Price levels: 2 different prices over 39 days
Description
Key Features
Part of the Machine Learning: Foundations, Methodologies, and Applications series for organized study.
Published by Springer, a recognized name in high-quality academic and technical literature.
Covers the fundamentals and recent advances in the field of federated learning.
Designed for readers focused on computer science, AI, and machine learning topics.
Provides a technical foundation for understanding decentralized machine learning methodologies.
Product Specifications
- Brand
- Springer
- Format
- paperback
- ASIN
- 9811970858
- Domain
- Amazon UK
- Release Date
- 01 December 2023
- Listed Since
- 04 November 2023
Barcode
No barcode data available
Similar Products You Might Like
Deep Reinforcement Learning: Fundamentals, Research and Applications
Springer
Springer Computational Learning Theories - AI Models Book
Springer
Springer Metaheuristics for Machine Learning Book
Springer
Autonomous Driving Perception: Fundamentals and Applications (Advances in Computer Vision and Pattern Recognition)
Springer
Springer Federated Edge Learning - Wireless Networks Book
Springer
Process Operational Safety and Cybersecurity: A Feedback Control Approach (Advances in Industrial Control)
Springer
Polymer Composites: Fundamentals and Applications (Engineering Materials)
Springer
Springer - AI in Water Resources Management and Sustainability
Springer
Springer - AI in Higher Education: Innovation and Applications
Springer
Springer Artificial Neural Networks and SEM Marketing Book
Springer
Computational Methods for Deep Learning: Theory, Algorithms, and Implementations (Texts in Computer Science)
Springer
Springer - Machine Learning Applied to Composite Materials
Springer
Security and Privacy in Federated Learning (Digital Privacy and Security)
Springer
Springer Concise Guide to Quantum Machine Learning Book
Springer
Cultural Algorithms: Recent Advances (Engineering Optimization: Methods and Applications)
Springer
Springer High-Dimensional Regression Analysis and AI Book
Springer
Springer - Artificial Intelligence Applications for Environment
Springer
Artificial Intelligence and Machine Learning for Sustainable Development: Innovations, Challenges, and Applications
CRC Press
Springer - Artificial Intelligence and Cybersecurity Book
Springer
Syntactic Networks—Kernel Memory Approach (Studies in Computational Intelligence)
Springer
Machine Learning and Deep Learning Modeling and Algorithms with Applications in Medical and Health Care (Springer Series in Reliability Engineering)
Springer
Springer - Construct, Merge, Solve & Adapt: Combinatorial Optimization
Springer
Springer - Agricultural Internet of Things Book
Springer
Remote Sensing and GIS Application in Forest Conservation Planning (Advances in Geographical and Environmental Sciences)
Springer