Description: Optimization Algorithms for Distributed Machine Learning by Gauri Joshi Estimated delivery 3-12 business days Format Paperback Condition Brand New Description 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. Publisher Description 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. Author Biography Gauri Joshi, Ph.D., is an Associate Professor in the ECE department at Carnegie Mellon University. Dr. Joshi completed her Ph.D. from MIT EECS. Her current research is on designing algorithms for federated learning, distributed optimization, and parallel computing. Her awards and honors include being named as one of MIT Technology Reviews 35 Innovators under 35 (2022), the NSF CAREER Award (2021), the ACM SIGMETRICS Best Paper Award (2020), Best Thesis Prize in Computer science at MIT (2012), and Institute Gold Medal of IIT Bombay (2010). Details ISBN 3031190696 ISBN-13 9783031190698 Title Optimization Algorithms for Distributed Machine Learning Author Gauri Joshi Format Paperback Year 2023 Pages 127 Edition 1st Publisher Springer International Publishing AG GE_Item_ID:157447078; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 55.32 USD
Location: Fairfield, Ohio
End Time: 2024-12-02T04:03:35.000Z
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ISBN-13: 9783031190698
Book Title: Optimization Algorithms for Distributed Machine Learning
Number of Pages: Xiii, 127 Pages
Language: English
Publication Name: Optimization Algorithms for Distributed Machine Learning
Publisher: Springer International Publishing A&G
Publication Year: 2023
Subject: Programming / Algorithms, Probability & Statistics / General, Intelligence (Ai) & Semantics, General
Item Weight: 9 Oz
Type: Textbook
Author: Gauri Joshi
Subject Area: Mathematics, Computers, Science
Item Length: 9.4 in
Item Width: 6.6 in
Series: Synthesis Lectures on Learning, Networks, and Algorithms Ser.
Format: Trade Paperback