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Can we Generalize and Distribute Private Representation Learning?

Can we Generalize and Distribute Private Representation Learning?

5 October 2020
Sheikh Shams Azam
Taejin Kim
Seyyedali Hosseinalipour
Carlee Joe-Wong
S. Bagchi
Christopher G. Brinton
ArXivPDFHTML

Papers citing "Can we Generalize and Distribute Private Representation Learning?"

5 / 5 papers shown
Title
Parallel Successive Learning for Dynamic Distributed Model Training over
  Heterogeneous Wireless Networks
Parallel Successive Learning for Dynamic Distributed Model Training over Heterogeneous Wireless Networks
Seyyedali Hosseinalipour
Su Wang
Nicolò Michelusi
Vaneet Aggarwal
Christopher G. Brinton
David J. Love
M. Chiang
23
27
0
07 Feb 2022
Generative Adversarial Privacy
Generative Adversarial Privacy
Chong Huang
Peter Kairouz
Xiao Chen
Lalitha Sankar
Ram Rajagopal
PICV
63
42
0
13 Jul 2018
Adaptive Federated Learning in Resource Constrained Edge Computing
  Systems
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
Shiqiang Wang
Tiffany Tuor
Theodoros Salonidis
K. Leung
C. Makaya
T. He
Kevin S. Chan
144
1,687
0
14 Apr 2018
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
233
674
0
17 Feb 2018
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,225
0
16 Nov 2016
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