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Divide-and-Conquer the NAS puzzle in Resource Constrained Federated
  Learning Systems

Divide-and-Conquer the NAS puzzle in Resource Constrained Federated Learning Systems

11 May 2023
Yeshwanth Venkatesha
Youngeun Kim
Hyoungseob Park
Priyadarshini Panda
    FedML
ArXivPDFHTML

Papers citing "Divide-and-Conquer the NAS puzzle in Resource Constrained Federated Learning Systems"

7 / 7 papers shown
Title
Self-supervised Cross-silo Federated Neural Architecture Search
Self-supervised Cross-silo Federated Neural Architecture Search
Xinle Liang
Yang Liu
Jiahuan Luo
Yuanqin He
Tianjian Chen
Qiang Yang
FedML
98
18
0
28 Jan 2021
What is the State of Neural Network Pruning?
What is the State of Neural Network Pruning?
Davis W. Blalock
Jose Javier Gonzalez Ortiz
Jonathan Frankle
John Guttag
185
1,027
0
06 Mar 2020
Real-time Federated Evolutionary Neural Architecture Search
Real-time Federated Evolutionary Neural Architecture Search
Hangyu Zhu
Yaochu Jin
FedML
131
71
0
04 Mar 2020
Efficient Multi-objective Neural Architecture Search via Lamarckian
  Evolution
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution
T. Elsken
J. H. Metzen
Frank Hutter
122
498
0
24 Apr 2018
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile
  Applications
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications
Tien-Ju Yang
Andrew G. Howard
Bo Chen
Xiao Zhang
Alec Go
Mark Sandler
Vivienne Sze
Hartwig Adam
90
515
0
09 Apr 2018
Universal Deep Neural Network Compression
Universal Deep Neural Network Compression
Yoojin Choi
Mostafa El-Khamy
Jungwon Lee
MQ
81
85
0
07 Feb 2018
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,326
0
05 Nov 2016
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