Decentralized Optimization in Networks
Algorithmic Efficiency and Privacy Preservation
- Publisher's listprice EUR 140.99
-
59 807 Ft (56 959 Ft + 5% VAT)
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
- Discount 20% (cc. 11 961 Ft off)
- Discounted price 47 846 Ft (45 567 Ft + 5% VAT)
59 807 Ft
Availability
Not yet published.
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Publisher Morgan Kaufmann
- Date of Publication 1 August 2025
- ISBN 9780443333378
- Binding Paperback
- No. of pages266 pages
- Size 234x190 mm
- Language English 700
Categories
Long description:
Decentralized Optimization in Networks: Algorithmic Efficiency and Privacy Preservation provides the reader with theoretical foundations, practical guidance, and solutions to decentralized optimization problems. The book demonstrates the application of decentralized optimization algorithms to enhance communication and computational efficiency, solve large-scale datasets, maintain privacy preservation, and address challenges in complex decentralized networks. The book covers key topics such as event-triggered communication, random link failures, zeroth-order gradients, variance-reduction, Polyak’s projection, stochastic gradient, random sleep, and differential privacy. It also includes simulations and practical examples to illustrate the algorithms' effectiveness and applicability in real-world scenarios.
MoreTable of Contents:
1. Asynchronous Decentralized Algorithms for Resource Allocation in Directed Networks
2. Event-Triggered Decentralized Accelerated Algorithms for Economic Dispatch in Networks
3. Variance-Reduced Decentralized Projection Algorithms for Constrained Optimization in Networks
4. Event-Triggered Decentralized Gradient Tracking Algorithms for Stochastic Optimization in Networks
5. Differentially Private Decentralized Dual Averaging Algorithms for Online Optimization in Directed Networks
6. Differentially Private Decentralized Zeroth-Order Algorithms for Online Optimization in Dynamic Networks
7. Privacy-Preserving Decentralized Dual Averaging Push Algorithms with Correlated Perturbations
8. Privacy-Preserving Decentralized Optimal Economic Dispatch Algorithms with Conditional Noises
Decentralized Optimization in Networks: Algorithmic Efficiency and Privacy Preservation
Subcribe now and receive a favourable price.
Subscribe
59 807 HUF
