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1908.05895
Cited By
Distilling On-Device Intelligence at the Network Edge
16 August 2019
Jihong Park
Shiqiang Wang
Anis Elgabli
Seungeun Oh
Eunjeong Jeong
Han Cha
Hyesung Kim
Seong-Lyun Kim
M. Bennis
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Papers citing
"Distilling On-Device Intelligence at the Network Edge"
11 / 11 papers shown
Title
Mix2FLD: Downlink Federated Learning After Uplink Federated Distillation With Two-Way Mixup
Seungeun Oh
Jihong Park
Eunjeong Jeong
Hyesung Kim
M. Bennis
Seong-Lyun Kim
FedML
52
58
0
17 Jun 2020
GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning
Anis Elgabli
Jihong Park
Amrit Singh Bedi
M. Bennis
Vaneet Aggarwal
FedML
23
82
0
30 Aug 2019
Federated Reinforcement Distillation with Proxy Experience Memory
Han Cha
Jihong Park
Hyesung Kim
Seong-Lyun Kim
M. Bennis
54
16
0
15 Jul 2019
Multi-hop Federated Private Data Augmentation with Sample Compression
Eunjeong Jeong
Seungeun Oh
Jihong Park
Hyesung Kim
M. Bennis
Seong-Lyun Kim
53
17
0
15 Jul 2019
Robust Coreset Construction for Distributed Machine Learning
Hanlin Lu
Ming-Ju Li
T. He
Shiqiang Wang
Vijay Narayanan
Kevin S. Chan
OOD
42
25
0
11 Apr 2019
No Peek: A Survey of private distributed deep learning
Praneeth Vepakomma
Tristan Swedish
Ramesh Raskar
O. Gupta
Abhimanyu Dubey
SyDa
FedML
47
100
0
08 Dec 2018
Wireless Network Intelligence at the Edge
Jihong Park
S. Samarakoon
M. Bennis
Mérouane Debbah
87
519
0
07 Dec 2018
Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data
Eunjeong Jeong
Seungeun Oh
Hyesung Kim
Jihong Park
M. Bennis
Seong-Lyun Kim
FedML
54
596
0
28 Nov 2018
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
Shiqiang Wang
Tiffany Tuor
Theodoros Salonidis
K. Leung
C. Makaya
T. He
Kevin S. Chan
200
1,698
0
14 Apr 2018
Large scale distributed neural network training through online distillation
Rohan Anil
Gabriel Pereyra
Alexandre Passos
Róbert Ormándi
George E. Dahl
Geoffrey E. Hinton
FedML
314
405
0
09 Apr 2018
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
234
17,328
0
17 Feb 2016
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