Heterogeneous Federated Learning

Imagenet classification with deep convolutional neural networks

Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012

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Communication-efficient learning of deep networks from decentralized data

Original

H Brendan McMahan, Eider Moore, Daniel Ramage, Seth Hampson, et al · 2016

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Evaluating the visualization of what a deep neural network has learned

W. Samek, A. Binder, G. Montavon, S. Lapuschkin, and K. Müller · 2016

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Learning deep features for discriminative localization

B. Zhou, A. Khosla, A. Lapedriza, A. Oliva, and A. Torralba · 2016

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An investigation of how neural networks learn from the experiences of peers through periodic weight averaging

J. Smith and M. Gashler · 2017

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Federated optimization in heterogeneous networks

T. Li, A. K. Sahu, M. Zaheer, M. Sanjabi, A. Talwalkar, and V. Smith · 2018

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How convolutional neural network see the world-a survey of convolutional neural network visualization methods

Z. Qin, F. Yu, C. Liu, and X. Chen · 2018

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Group normalization

Yuxin Wu and Kaiming He · 2018

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Probabilistic federated neural matching

M. Yurochkin, M. Agarwal, S. Ghosh, K. Greenewald, N. Hoang, and Y. Khazaeni · 2018

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Shufflenet: An extremely efficient convolutional neural network for mobile devices

Xiangyu Zhang, Xinyu Zhou, Mengxiao Lin, and Jian Sun · 2018

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Federated learning with non-iid data

Original

Yue Zhao, Meng Li, Liangzhen Lai, Naveen Suda, Damon Civin, and Vikas Chandra · 2018

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On the convergence of fedavg on non-iid data

X. Li, K. Huang, W. Yang, S. Wang, and Z. Zhang · 2019

Cited alongside, same era.

Rethinking the value of network pruning

Z. Liu, M. Sun, T. Zhou, G. Huang, and T. Darrell · 2019

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Robust federated learning through representation matching and adaptive hyper-parameters

H. Mostafa · 2019

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Functionality-oriented convolutional filter pruning

Z. Qin, F. Yu, C. Liu, and X. Chen · 2019

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Model fusion via optimal transport

S. P. Singh and M. Jaggi · 2019

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Bayesian nonparametric federated learning of neural networks

M. Yurochkin, M. Agarwal, S. Ghosh, K. Greenewald, T. N. Hoang, and Y. Khazaeni · 2019

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Non-iterative knowledge fusion in deep convolutional neural networks

M. I. Leontev, V. Islenteva, and S. V. Sukhov · 2020

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Federated learning with matched averaging

H. Wang, M. Yurochkin, Y. Sun, D. Papailiopoulos, and Y Khazaeni · 2020

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