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Split Learning Meets Koopman Theory for Wireless Remote Monitoring and Prediction

Split Learning Meets Koopman Theory for Wireless Remote Monitoring and Prediction

Abanoub M. Girgis
Hyowoon Seo
Jihong Park
M. Bennis
Jinho Choi
ArXiv (abs)PDFHTML

Papers citing "Split Learning Meets Koopman Theory for Wireless Remote Monitoring and Prediction"

6 / 6 papers shown
Title
Deep Learning of Koopman Representation for Control
Deep Learning of Koopman Representation for Control
Yiqiang Han
Wenjian Hao
Umesh Vaidya
AI4CE
38
110
0
15 Oct 2020
Massive Autonomous UAV Path Planning: A Neural Network Based Mean-Field Game Theoretic Approach
Massive Autonomous UAV Path Planning: A Neural Network Based Mean-Field Game Theoretic Approach
Hamid Shiri
Jihong Park
M. Bennis
52
64
0
10 May 2019
Wireless Network Intelligence at the Edge
Wireless Network Intelligence at the Edge
Jihong Park
S. Samarakoon
M. Bennis
Mérouane Debbah
100
521
0
07 Dec 2018
Split learning for health: Distributed deep learning without sharing raw patient data
Split learning for health: Distributed deep learning without sharing raw patient data
Praneeth Vepakomma
O. Gupta
Tristan Swedish
Ramesh Raskar
FedML
118
709
0
03 Dec 2018
Deep learning for universal linear embeddings of nonlinear dynamics
Deep learning for universal linear embeddings of nonlinear dynamics
Bethany Lusch
J. Nathan Kutz
Steven L. Brunton
81
1,259
0
27 Dec 2017
Learning Deep Neural Network Representations for Koopman Operators of Nonlinear Dynamical Systems
Learning Deep Neural Network Representations for Koopman Operators of Nonlinear Dynamical Systems
Enoch Yeung
Soumya Kundu
Nathan Oken Hodas
AI4CE
74
387
0
22 Aug 2017

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