DIN: A Decentralized Inexact Newton Algorithm for Consensus Optimization-Reference-Cited by-同舟云学术

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DIN: A Decentralized Inexact Newton Algorithm for Consensus Optimization

Published:2024 Issue: Volume:2 Page:663-674
ISSN:2831-316X
Container-title:IEEE Transactions on Machine Learning in Communications and Networking
language:
Short-container-title:Trans. Mach. Learn. Comm. Netw.

Author:

Ghalkha Abdulmomen¹^ORCID,Ben Issaid Chaouki¹^ORCID,Elgabli Anis²^ORCID,Bennis Mehdi¹^ORCID

Affiliation:

1. Centre for Wireless Communications (CWC), University of Oulu, Oulu, Finland

2. Department of Industrial and Systems Engineering, Interdisciplinary Research Center for Communication Systems and Sensing (IRC-CSS), Interdisciplinary Research Center for Intelligent Secure Systems (IRC-ISS), King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia

Funder

European Commission

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/9882533/10356147/10531222.pdf?arnumber=10531222

Reference42 articles.

1. Distributed Optimization Algorithms for Wide-Area Oscillation Monitoring in Power Systems Using Interregional PMU-PDC Architectures

2. Advances and Open Problems in Federated Learning

3. Challenger

4. Federated Learning in Vehicular Networks

5. A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning: Principals, Recent Advances, and Applications

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