Distributed Stochastic Gradient Method for Non-Convex Problems with Applications in Supervised Learning-Reference-Cited by-同舟云学术

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Distributed Stochastic Gradient Method for Non-Convex Problems with Applications in Supervised Learning

Published:2019-12 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE 58th Conference on Decision and Control (CDC)
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Author:

George Jemin,Yang Tao,Bai He,Gurram Prudhvi

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8977134/9028853/09029453.pdf?arnumber=9029453

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Distributed Dynamic Event-Triggered Communication Mechanisms for Dynamic Average Consensus;2023 62nd IEEE Conference on Decision and Control (CDC);2023-12-13

2. Decentralized Stochastic Optimization With Inherent Privacy Protection;IEEE Transactions on Automatic Control;2023-04

3. Sublinear and Linear Convergence of Modified ADMM for Distributed Nonconvex Optimization;IEEE Transactions on Control of Network Systems;2023-03

4. Scaling distributed artificial intelligence/machine learning for decision dominance in all-domain operations;Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications IV;2022-06-06

5. A Primal-Dual SGD Algorithm for Distributed Nonconvex Optimization;IEEE/CAA Journal of Automatica Sinica;2022-05

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