Optimization Algorithms for Distributed Machine Learning
Joshi, Gauri
Produktnummer:
18acab23da82534bedab42894f50de1182
| Autor: | Joshi, Gauri |
|---|---|
| Themengebiete: | Distributed Machine Learning Distributed Optimization Distributed SGD Federated Learning Large-scale Machine Learning Optimization Algorithms Stochastic Gradient Descent |
| Veröffentlichungsdatum: | 26.11.2023 |
| EAN: | 9783031190698 |
| Sprache: | Englisch |
| Seitenzahl: | 127 |
| Produktart: | Kartoniert / Broschiert |
| Verlag: | Springer International Publishing |
Produktinformationen "Optimization Algorithms for Distributed Machine Learning"
This book discusses state-of-the-art stochastic optimization algorithms for distributed machine learning and analyzes their convergence speed. The book first introduces stochastic gradient descent (SGD) and its distributed version, synchronous SGD, where the task of computing gradients is divided across several worker nodes. The author discusses several algorithms that improve the scalability and communication efficiency of synchronous SGD, such as asynchronous SGD, local-update SGD, quantized and sparsified SGD, and decentralized SGD. For each of these algorithms, the book analyzes its error versus iterations convergence, and the runtime spent per iteration. The author shows that each of these strategies to reduce communication or synchronization delays encounters a fundamental trade-off between error and runtime.
Sie möchten lieber vor Ort einkaufen?
Sie haben Fragen zu diesem oder anderen Produkten oder möchten einfach gerne analog im Laden stöbern? Wir sind gerne für Sie da und beraten Sie auch telefonisch.
Juristische Fachbuchhandlung
Georg Blendl
Parcellistraße 5 (Maxburg)
8033 München
Montag - Freitag: 8:15 -18 Uhr
Samstags geschlossen