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Federated learning (FL) has emerged as a new paradigm for privacy-preserving computation in recent years.
Artificial neural networks (the multilayer perceptron)—a review of applications in the atmospheric sciences
M. W. Gardner and S. Dorling · 1998
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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Unbiased metric learning: On the utilization of multiple datasets and web images for softening bias
C. Fang, Y. Xu, and D. N. Rockmore · 2013
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Deeper, broader and artier domain generalization
D. Li, Y. Yang, Y.-Z. Song, and T. M. Hospedales · 2017
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Communication-efficient learning of deep networks from decentralized data
B. McMahan, E. Moore, D. Ramage, S. Hampson, and B. A. y Arcas · 2017
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Deep hashing network for unsupervised domain adaptation
H. Venkateswara, J. Eusebio, S. Chakraborty, and S. Panchanathan · 2017
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The eu general data protection regulation (gdpr)
P. Voigt and A. Von dem Bussche · 2017
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The history began from alexnet: A comprehensive survey on deep learning approaches
M. Z. Alom, T. M. Taha, C. Yakopcic, S. Westberg, P. Sidike, M. S. Nasrin, B. C. Van Esesn, A. A. S. Awwal, and V. K. Asari · 2018
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China’s cyber power
N. Inkster · 2018
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Improving language understanding by generative pre-training
A. Radford, K. Narasimhan, T. Salimans, I. Sutskever, et al · 2018
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Generalized cross entropy loss for training deep neural networks with noisy labels
Z. Zhang and M. Sabuncu · 2018
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Braintorrent: A peer-to-peer environment for decentralized federated learning
A. G. Roy, S. Siddiqui, S. Pölsterl, N. Navab, and C. Wachinger · 2019
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Robust and communication-efficient federated learning from non-iid data
F. Sattler, S. Wiedemann, K.-R. Müller, and W. Samek · 2019
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How to fine-tune bert for text classification?
C. Sun, X. Qiu, Y. Xu, and X. Huang · 2019
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Bert rediscovers the classical nlp pipeline
I. Tenney, D. Das, and E. Pavlick · 2019
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Deep learning for sensor-based activity recognition: A survey
J. Wang, Y. Chen, S. Hao, X. Peng, and L. Hu · 2019
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Federated machine learning: Concept and applications
Q. Yang, Y. Liu, T. Chen, and Y. Tong · 2019
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Invariant risk minimization
M. Arjovsky, L. Bottou, I. Gulrajani, and D. Lopez-Paz · 2020
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Language models are few-shot learners
T. Brown, B. Mann, N. Ryder, M. Subbiah, J. D. Kaplan, P. Dhariwal, A. Neelakantan, P. Shyam, G. Sastry, A. Askell, et al · 2020
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Self-challenging improves cross-domain generalization
Z. Huang, H. Wang, E. P. Xing, and D. Huang · 2020
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A review of applications in federated learning
L. Li, Y. Fan, M. Tse, and K.-Y. Lin · 2020
Cited alongside, same era.
Federated optimization in heterogeneous networks
T. Li, A. K. Sahu, M. Zaheer, M. Sanjabi, A. Talwalkar, and V. Smith · 2020
Cited alongside, same era.
Salvaging federated learning by local adaptation
T. Yu, E. Bagdasaryan, and V. Shmatikov · 2020
Cited alongside, same era.
Y. Chen, W. Lu, X. Qin, J. Wang, and X. Xie · 2022
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Feddc: Federated learning with non-iid data via local drift decoupling and correction
L. Gao, H. Fu, L. Li, Y. Chen, M. Xu, and C.-Z. Xu · 2022
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T. Guo, S. Guo, J. Wang, and W. Xu · 2022
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Fl games: A federated learning framework for distribution shifts
S. Gupta, K. Ahuja, M. Havaei, N. Chatterjee, and Y. Bengio · 2022
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A survey on vision transformer
K. Han, Y. Wang, H. Chen, X. Chen, J. Guo, Z. Liu, Y. Tang, A. Xiao, C. Xu, Y. Xu, et al · 2022
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R. Bommasani, D. A. Hudson, E. Adeli, R. Altman, S. Arora, S. von Arx, M. S. Bernstein, J. Bohg, A. Bosselut, E. Brunskill, et al · 2021
Cited alongside, same era.
An image is worth 16x16 words: Transformers for image recognition at scale
A. Dosovitskiy, L. Beyer, A. Kolesnikov, D. Weissenborn, X. Zhai, T. Unterthiner, M. Dehghani, M. Minderer, G. Heigold, S. Gelly, et al · 2021
Cited alongside, same era.
Sharpness-aware minimization for efficiently improving generalization
P. Foret, A. Kleiner, H. Mobahi, and B. Neyshabur · 2021
Cited alongside, same era.
Fedbn: Federated learning on non-iid features via local batch normalization
X. Li, M. JIANG, X. Zhang, M. Kamp, and Q. Dou · 2021
Cited alongside, same era.
Cross-domain activity recognition via substructural optimal transport
W. Lu, Y. Chen, J. Wang, and X. Qin · 2021
Cited alongside, same era.
Anam-net: Anamorphic depth embedding-based lightweight cnn for segmentation of anomalies in covid-19 chest ct images
N. Paluru, A. Dayal, H. B. Jenssen, T. Sakinis, L. R. Cenkeramaddi, J. Prakash, and P. K. Yalavarthy · 2021
Cited alongside, same era.
Learning transferable visual models from natural language supervision
A. Radford, J. W. Kim, C. Hallacy, A. Ramesh, G. Goh, S. Agarwal, G. Sastry, A. Askell, P. Mishkin, J. Clark, et al · 2021
Cited alongside, same era.
Exploiting adapters for cross-lingual low-resource speech recognition
W. Hou, H. Zhu, Y. Wang, J. Wang, T. Qin, R. Xu, and T. Shinozaki · 2022
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From distributed machine learning to federated learning: A survey
J. Liu, J. Huang, Y. Zhou, X. Li, S. Ji, H. Xiong, and D. Dou · 2022
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Sphereface revived: Unifying hyperspherical face recognition
W. Liu, Y. Wen, B. Raj, R. Singh, and A. Weller · 2022
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Local and global alignments for generalizable sensor-based human activity recognition
W. Lu, J. Wang, and Y. Chen · 2022
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Semantic-discriminative mixup for generalizable sensor-based cross-domain activity recognition
W. Lu, J. Wang, Y. Chen, S. Pan, C. Hu, and X. Qin · 2022
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Personalized federated learning with adaptive batchnorm for healthcare
W. Lu, J. Wang, Y. Chen, X. Qin, R. Xu, D. Dimitriadis, and T. Qin · 2022
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Generalized federated learning via sharpness aware minimization
Z. Qu, X. Li, R. Duan, Y. Liu, B. Tang, and Z. Lu · 2022
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Gradient masked averaging for federated learning
I. Tenison, S. A. Sreeramadas, V. Mugunthan, E. Oyallon, E. Belilovsky, and I. Rish · 2022
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Generalizing to unseen domains: A survey on domain generalization
J. Wang, C. Lan, C. Liu, Y. Ouyang, T. Qin, W. Lu, Y. Chen, W. Zeng, and P. Yu · 2022
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What do we mean by generalization in federated learning?
H. Yuan, W. R. Morningstar, L. Ning, and K. Singhal · 2022
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Image-free domain generalization via clip for 3d hand pose estimation
S. Lee, H. Park, D. U. Kim, J. Kim, M. Boboev, and S. Baek · 2023
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Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges
N. Rodríguez-Barroso, D. Jiménez-López, M. V. Luzón, F. Herrera, and E. Martínez-Cámara · 2023
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Chatgpt: five priorities for research
E. A. van Dis, J. Bollen, W. Zuidema, R. van Rooij, and C. L. Bockting · 2023
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