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On Distributed Stochastic Gradient Algorithms for Global Optimization
v1v2 (latest)

On Distributed Stochastic Gradient Algorithms for Global Optimization

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
21 October 2019
Brian Swenson
Anirudh Sridhar
H. Vincent Poor
ArXiv (abs)PDFHTML

Papers citing "On Distributed Stochastic Gradient Algorithms for Global Optimization"

2 / 2 papers shown
DIGing--SGLD: Decentralized and Scalable Langevin Sampling over Time--Varying Networks
DIGing--SGLD: Decentralized and Scalable Langevin Sampling over Time--Varying Networks
W. Bajwa
Mert Gurbuzbalaban
Mustafa Ali Kutbay
Lingjiong Zhu
Muhammad Zulqarnain
66
0
0
16 Nov 2025
Distributed Gradient Flow: Nonsmoothness, Nonconvexity, and Saddle Point
  Evasion
Distributed Gradient Flow: Nonsmoothness, Nonconvexity, and Saddle Point EvasionIEEE Transactions on Automatic Control (TAC), 2020
Brian Swenson
Ryan W. Murray
H. Vincent Poor
S. Kar
238
16
0
12 Aug 2020
1