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Federated Learning (FL) enables a group of clients to jointly train a machine learning model with the help of a centralized server.
Cross-entropy and rare events for maximal cut and partition problems
Reuven Y. Rubinstein · 2002
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Random projection for high dimensional data clustering: A cluster ensemble approach
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Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories
Li Fei-Fei, Rob Fergus, and Pietro Perona · 2004
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Analysis of representations for domain adaptation
Shai Ben-David, John Blitzer, Koby Crammer, and Fernando C Pereira · 2006
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Labelme: A database and web-based tool for image annotation
Bryan C. Russell, Antonio Torralba, Kevin P. Murphy, and William T. Freeman · 2007
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Visualizing data using t-sne
Laurens van der Maaten and Geoffrey E. Hinton · 2008
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, K. Li, and Li Fei-Fei · 2009
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The pascal visual object classes (voc) challenge
Mark Everingham, Luc Van Gool, Christopher K. I. Williams, John M. Winn, and Andrew Zisserman · 2009
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Fast orthogonal neural network for adaptive fourier amplitude spectrum computation in classification problems
Bartlomiej Stasiak and Mykhaylo Yatsymirskyy · 2009
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Exploiting hierarchical context on a large database of object categories
Myung Jin Choi, Joseph J. Lim, Antonio Torralba, and Alan S. Willsky · 2010
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Generalizing from several related classification tasks to a new unlabeled sample
Gilles Blanchard, Gyemin Lee, and Clayton Scott · 2011
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Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton · 2012
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Domain generalization via invariant feature representation
Krikamol Muandet, David Balduzzi, and Bernhard Schölkopf · 2013
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Generative adversarial nets
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron C. Courville, and Yoshua Bengio · 2014
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Domain generalization for object recognition with multi-task autoencoders
Muhammad Ghifary, W. Kleijn, Mengjie Zhang, and David Balduzzi · 2015
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Domain-adversarial training of neural networks
Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, François Laviolette, Mario Marchand, and Victor Lempitsky · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Rethinking the inception architecture for computer vision
Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jonathon Shlens, and Zbigniew Wojna · 2016
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Deeper, broader and artier domain generalization
Da Li, Yongxin Yang, Yi-Zhe Song, and Timothy M. Hospedales · 2017
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Least squares generative adversarial networks
Xudong Mao, Qing Li, Haoran Xie, Raymond Y. K. Lau, Zhen Wang, and Stephen Paul Smolley · 2017
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Communication-efficient learning of deep networks from decentralized data
Brendan McMahan, Eider Moore, Daniel Ramage, Seth Hampson, and Blaise Agüera y Arcas · 2017
Self-challenging improves cross-domain generalization
Zeyi Huang, Haohan Wang, Eric P. Xing, and Dong Huang · 2020
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Federated optimization in heterogeneous networks
Tian Li, Anit Kumar Sahu, Manzil Zaheer, Maziar Sanjabi, Ameet Talwalkar, and Virginia Smith · 2020
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Federated adversarial domain adaptation
Xingchao Peng, Zijun Huang, Yizhe Zhu, and Kate Saenko · 2020
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Learning to optimize domain specific normalization for domain generalization
Seonguk Seo, Yumin Suh, Dongwan Kim, Geeho Kim, Jongwoo Han, and Bohyung Han · 2020
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Tackling the objective inconsistency problem in heterogeneous federated optimization
Jianyu Wang, Qinghua Liu, Hao Liang, Gauri Joshi, and H. Vincent Poor · 2020
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Learning from extrinsic and intrinsic supervisions for domain generalization
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Secureml: A system for scalable privacy-preserving machine learning
Payman Mohassel and Yupeng Zhang · 2017
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Deep hashing network for unsupervised domain adaptation
Hemanth Venkateswara, Jose Eusebio, Shayok Chakraborty, and Sethuraman Panchanathan · 2017
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Domain generalization with domain-specific aggregation modules
Antonio D’Innocente and Barbara Caputo · 2018
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Domain generalization with adversarial feature learning
Haoliang Li, Sinno Jialin Pan, Shiqi Wang, and Alex C Kot · 2018
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Generalizing to unseen domains via distribution matching, 2019
Isabela Albuquerque, João Monteiro, Mohammad Darvishi, Tiago H. Falk, and Ioannis Mitliagkas · 2019
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Domain generalization by solving jigsaw puzzles
Fabio Maria Carlucci, Antonio D’Innocente, Silvia Bucci, Barbara Caputo, and Tatiana Tommasi · 2019
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Shujun Wang, Lequan Yu, Caizi Li, Chi-Wing Fu, and Pheng-Ann Heng · 2020
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A learning-based incentive mechanism for federated learning
Yufeng Zhan, Peng Li, Zhihao Qu, Deze Zeng, and Song Guo · 2020
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Learning to generate novel domains for domain generalization
Kaiyang Zhou, Yongxin Yang, Timothy M. Hospedales, and Tao Xiang · 2020
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Model-contrastive federated learning
Qinbin Li, Bingsheng He, and Dawn Song · 2021
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Feddg: Federated domain generalization on medical image segmentation via episodic learning in continuous frequency space
Quande Liu, Cheng Chen, Jing Qin, Qi Dou, and Pheng-Ann Heng · 2021
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Generalizing to unseen domains: A survey on domain generalization
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Collaborative optimization and aggregation for decentralized domain generalization and adaptation
Guile Wu and Shaogang Gong · 2021
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Domain generalization with mixstyle
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Federated deep learning for zero-day botnet attack detection in iot-edge devices
Segun I. Popoola, Ruth Ande, Bamidele Adebisi, Guan Gui, Mohammad Hammoudeh, and Olamide Jogunola · 2022
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