Optimization Algorithms for Distributed Machine Learning

Author:   Gauri Joshi
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2023
ISBN:  

9783031190698


Pages:   127
Publication Date:   26 November 2023
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Optimization Algorithms for Distributed Machine Learning


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Author:   Gauri Joshi
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2023
Weight:   0.255kg
ISBN:  

9783031190698


ISBN 10:   3031190696
Pages:   127
Publication Date:   26 November 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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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 Review's 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).

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