Self-supervised Cross-silo Federated Neural Architecture Search

28 January 2021

Yang Liu

Papers citing "Self-supervised Cross-silo Federated Neural Architecture Search"

47 / 47 papers shown

Title
Towards Active Participant Centric Vertical Federated Learning: Some Representations May Be All You Need Jon Irureta Jon Imaz Aizea Lojo Javier Fernandez-Marques Marco González Iñigo Perona FedML 123 1 0 20 Feb 2025
Mitigating Backdoor Attacks in Federated Learning Chen Wu Xian Yang Sencun Zhu P. Mitra FedML AAML 76 104 0 28 Oct 2020
SplitNN-driven Vertical Partitioning Iker Ceballos Vivek Sharma Eduardo Mugica Abhishek Singh Alberto Roman Praneeth Vepakomma Ramesh Raskar 55 73 0 07 Aug 2020
FetchSGD: Communication-Efficient Federated Learning with Sketching D. Rothchild Ashwinee Panda Enayat Ullah Nikita Ivkin Ion Stoica Vladimir Braverman Joseph E. Gonzalez Raman Arora FedML 70 367 0 15 Jul 2020
Self-supervised Neural Architecture Search Sapir Kaplan Raja Giryes SSL 56 12 0 03 Jul 2020
Differentially-private Federated Neural Architecture Search Ishika Singh Haoyi Zhou Kunlin Yang Mengxiao Ding Bill Lin P. Xie FedML 55 22 0 16 Jun 2020
A Framework for Evaluating Gradient Leakage Attacks in Federated Learning Wenqi Wei Ling Liu Margaret Loper Ka-Ho Chow Mehmet Emre Gursoy Stacey Truex Yanzhao Wu FedML 68 148 0 22 Apr 2020
Towards Non-I.I.D. and Invisible Data with FedNAS: Federated Deep Learning via Neural Architecture Search Chaoyang He M. Annavaram A. Avestimehr OOD FedML 44 87 0 18 Apr 2020
Asymmetrical Vertical Federated Learning Yang Liu Xiong Zhang Libin Wang FedML 27 46 0 16 Apr 2020
Evaluating the Communication Efficiency in Federated Learning Algorithms Muhammad Asad Ahmed Moustafa Takayuki Ito M. Aslam FedML 40 53 0 06 Apr 2020
MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation Chaoyang He Haishan Ye Li Shen Tong Zhang 65 129 0 27 Mar 2020
Are Labels Necessary for Neural Architecture Search? Chenxi Liu Piotr Dollár Kaiming He Ross B. Girshick Alan Yuille Saining Xie 57 75 0 26 Mar 2020
Can We Use Split Learning on 1D CNN Models for Privacy Preserving Training? Sharif Abuadbba Kyuyeon Kim Minki Kim Chandra Thapa S. Çamtepe Yansong Gao Hyoungshick Kim Surya Nepal FedML 45 123 0 16 Mar 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 478 3,433 0 09 Mar 2020
Real-time Federated Evolutionary Neural Architecture Search Hangyu Zhu Yaochu Jin FedML 176 72 0 04 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 366 18,752 0 13 Feb 2020
Multi-Participant Multi-Class Vertical Federated Learning Siwei Feng Han Yu FedML 66 88 0 30 Jan 2020
Split Learning for collaborative deep learning in healthcare M. Poirot Praneeth Vepakomma Ken Chang Jayashree Kalpathy-Cramer Rajiv Gupta Ramesh Raskar FedML OOD 57 135 0 27 Dec 2019
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 248 6,261 0 10 Dec 2019
Parallel Distributed Logistic Regression for Vertical Federated Learning without Third-Party Coordinator Shengwen Yang Bing Ren Xuhui Zhou Liping Liu OOD FedML 38 132 0 22 Nov 2019
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 199 12,074 0 13 Nov 2019
Once-for-All: Train One Network and Specialize it for Efficient Deployment Han Cai Chuang Gan Tianzhe Wang Zhekai Zhang Song Han OOD 102 1,281 0 26 Aug 2019
FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare Yiqiang Chen Jindong Wang Chaohui Yu Wen Gao Xin Qin FedML 73 718 0 22 Jul 2019
Learning Privately over Distributed Features: An ADMM Sharing Approach Yaochen Hu Peng Liu Linglong Kong Di Niu FedML 38 32 0 17 Jul 2019
Deep Leakage from Gradients Ligeng Zhu Zhijian Liu Song Han FedML 94 2,207 0 21 Jun 2019
Federated Learning for Emoji Prediction in a Mobile Keyboard Swaroop Indra Ramaswamy Rajiv Mathews Kanishka Rao Franccoise Beaufays FedML 48 313 0 11 Jun 2019
Federated Learning Of Out-Of-Vocabulary Words Mingqing Chen Rajiv Mathews Tom Y. Ouyang F. Beaufays FedML 76 164 0 26 Mar 2019
Evolutionary Neural AutoML for Deep Learning J. Liang Elliot Meyerson Babak Hodjat Daniel Fink Karl Mutch Risto Miikkulainen 39 107 0 18 Feb 2019
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison Jeremy Irvin Pranav Rajpurkar M. Ko Yifan Yu Silviana Ciurea-Ilcus ... D. Larson C. Langlotz Bhavik Patel M. Lungren A. Ng 112 2,595 0 21 Jan 2019
Protection Against Reconstruction and Its Applications in Private Federated Learning Abhishek Bhowmick John C. Duchi Julien Freudiger Gaurav Kapoor Ryan M. Rogers FedML 81 360 0 03 Dec 2018
Split learning for health: Distributed deep learning without sharing raw patient data Praneeth Vepakomma O. Gupta Tristan Swedish Ramesh Raskar FedML 118 707 0 03 Dec 2018
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware Han Cai Ligeng Zhu Song Han 99 1,867 0 02 Dec 2018
A generic framework for privacy preserving deep learning Wenbo Guo Yunzhe Tao Morten Dahl Sui Huang Masashi Sugiyama Daniel Rueckert Lin Lin FedML 102 437 0 09 Nov 2018
Federated Learning for Mobile Keyboard Prediction Andrew Straiton Hard Kanishka Rao Zhifeng Lin Swaroop Indra Ramaswamy Youjie Li S. Augenstein Alex Schwing M. Annavaram A. Avestimehr FedML 136 1,541 0 08 Nov 2018
Distributed learning of deep neural network over multiple agents O. Gupta Ramesh Raskar FedML OOD 66 605 0 14 Oct 2018
Representation Learning with Contrastive Predictive Coding Aaron van den Oord Yazhe Li Oriol Vinyals DRL SSL 320 10,302 0 10 Jul 2018
DARTS: Differentiable Architecture Search Hanxiao Liu Karen Simonyan Yiming Yang 199 4,355 0 24 Jun 2018
Regularized Evolution for Image Classifier Architecture Search Esteban Real A. Aggarwal Yanping Huang Quoc V. Le 160 3,031 0 05 Feb 2018
Progressive Neural Architecture Search Chenxi Liu Barret Zoph Maxim Neumann Jonathon Shlens Wei Hua Li Li Li Fei-Fei Alan Yuille Jonathan Huang Kevin Patrick Murphy 109 1,991 0 02 Dec 2017
Learning Transferable Architectures for Scalable Image Recognition Barret Zoph Vijay Vasudevan Jonathon Shlens Quoc V. Le 174 5,603 0 21 Jul 2017
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices Xiangyu Zhang Xinyu Zhou Mengxiao Lin Jian Sun AI4TS 138 6,872 0 04 Jul 2017
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 205 6,121 0 01 Jul 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size F. Iandola Song Han Matthew W. Moskewicz Khalid Ashraf W. Dally Kurt Keutzer 150 7,486 0 24 Feb 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 406 17,468 0 17 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,020 0 10 Dec 2015
Multi-view Convolutional Neural Networks for 3D Shape Recognition Hang Su Subhransu Maji E. Kalogerakis Erik Learned-Miller 3DV 156 3,218 0 05 May 2015
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,547 0 01 Sep 2014