Blinder: End-to-end Privacy Protection in Sensing Systems via Personalized Federated Learning

24 September 2022

Xin Yang

Papers citing "Blinder: End-to-end Privacy Protection in Sensing Systems via Personalized Federated Learning"

36 / 36 papers shown

Title
PerFED-GAN: Personalized Federated Learning via Generative Adversarial Networks Xingjian Cao Gang Sun Hongfang Yu Mohsen Guizani FedML 59 57 0 18 Feb 2022
PPFL: Privacy-preserving Federated Learning with Trusted Execution Environments Fan Mo Hamed Haddadi Kleomenis Katevas Eduard Marin Diego Perino N. Kourtellis FedML 106 246 0 29 Apr 2021
Exploiting Shared Representations for Personalized Federated Learning Liam Collins Hamed Hassani Aryan Mokhtari Sanjay Shakkottai FedML OOD 101 719 0 14 Feb 2021
Meta Federated Learning Omid Aramoon Pin-Yu Chen Gang Qu Yuan Tian AAML FedML 25 13 0 10 Feb 2021
On Data Efficiency of Meta-learning Maruan Al-Shedivat Liam Li Eric Xing Ameet Talwalkar FedML 57 24 0 30 Jan 2021
Anonymizing Sensor Data on the Edge: A Representation Learning and Transformation Approach Omid Hajihassani Omid Ardakanian Hamzeh Khazaei 24 9 0 16 Nov 2020
learn2learn: A Library for Meta-Learning Research Sébastien M. R. Arnold Praateek Mahajan Debajyoti Datta Ian Bunner Konstantinos Saitas Zarkias 86 95 0 27 Aug 2020
Privacy-preserving Voice Analysis via Disentangled Representations Ranya Aloufi Hamed Haddadi David E. Boyle DRL 71 58 0 29 Jul 2020
Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization Jianyu Wang Qinghua Liu Hao Liang Gauri Joshi H. Vincent Poor MoMe FedML 55 1,336 0 15 Jul 2020
Personalized Federated Learning with Moreau Envelopes Canh T. Dinh N. H. Tran Tuan Dung Nguyen FedML 87 996 0 16 Jun 2020
TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework for Deep Learning with Anonymized Intermediate Representations Ang Li Yixiao Duan Huanrui Yang Yiran Chen Jianlei Yang 79 50 0 23 May 2020
Federated Generative Adversarial Learning Chenyou Fan Ping Liu GAN FedML 75 40 0 07 May 2020
Adaptive Personalized Federated Learning Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 299 556 0 30 Mar 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 393 10,591 0 17 Feb 2020
HybridAlpha: An Efficient Approach for Privacy-Preserving Federated Learning Runhua Xu Nathalie Baracaldo Yi Zhou Ali Anwar Heiko Ludwig FedML 56 288 0 12 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 493 42,407 0 03 Dec 2019
Federated Learning with Personalization Layers Manoj Ghuhan Arivazhagan V. Aggarwal Aaditya Kumar Singh Sunav Choudhary FedML 87 840 0 02 Dec 2019
Improving Federated Learning Personalization via Model Agnostic Meta Learning Yihan Jiang Jakub Konecný Keith Rush Sreeram Kannan FedML 64 601 0 27 Sep 2019
A Joint Learning and Communications Framework for Federated Learning over Wireless Networks Mingzhe Chen Zhaohui Yang Walid Saad Changchuan Yin H. Vincent Poor Shuguang Cui FedML 66 1,190 0 17 Sep 2019
DeepObfuscator: Obfuscating Intermediate Representations with Privacy-Preserving Adversarial Learning on Smartphones Ang Li Jiayi Guo Huanrui Yang Flora D. Salim Yiran Chen AAML 45 37 0 09 Sep 2019
Federated Learning: Challenges, Methods, and Future Directions Tian Li Anit Kumar Sahu Ameet Talwalkar Virginia Smith FedML 121 4,514 0 21 Aug 2019
Adaptive Gradient-Based Meta-Learning Methods M. Khodak Maria-Florina Balcan Ameet Talwalkar FedML 83 355 0 06 Jun 2019
CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning Jinhyun So Başak Güler A. Avestimehr FedML 64 116 0 02 Feb 2019
Federated Optimization in Heterogeneous Networks Tian Li Anit Kumar Sahu Manzil Zaheer Maziar Sanjabi Ameet Talwalkar Virginia Smith FedML 180 5,176 0 14 Dec 2018
A Hybrid Approach to Privacy-Preserving Federated Learning Stacey Truex Nathalie Baracaldo Ali Anwar Thomas Steinke Heiko Ludwig Rui Zhang Yi Zhou FedML 52 895 0 07 Dec 2018
MD-GAN: Multi-Discriminator Generative Adversarial Networks for Distributed Datasets Corentin Hardy Erwan Le Merrer B. Sericola GAN 110 180 0 09 Nov 2018
Mobile Sensor Data Anonymization Mohammad Malekzadeh R. Clegg Andrea Cavallaro Hamed Haddadi 150 204 0 26 Oct 2018
On First-Order Meta-Learning Algorithms Alex Nichol Joshua Achiam John Schulman 230 2,232 0 08 Mar 2018
Federated Meta-Learning with Fast Convergence and Efficient Communication Fei Chen Mi Luo Zhenhua Dong Zhenguo Li Xiuqiang He FedML 81 395 0 22 Feb 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 823 11,899 0 09 Mar 2017
DeepSense: A Unified Deep Learning Framework for Time-Series Mobile Sensing Data Processing Shuochao Yao Shaohan Hu Yiran Zhao Aston Zhang Tarek Abdelzaher HAI AI4TS 71 624 0 07 Nov 2016
Minimax Filter: Learning to Preserve Privacy from Inference Attacks Jihun Hamm 38 82 0 12 Oct 2016
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 203 6,121 0 01 Jul 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 397 17,468 0 17 Feb 2016
Semi-Supervised Learning with Deep Generative Models Diederik P. Kingma Danilo Jimenez Rezende S. Mohamed Max Welling GAN SSL BDL 85 2,740 0 20 Jun 2014
SMOTE: Synthetic Minority Over-sampling Technique Nitesh Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 367 25,642 0 09 Jun 2011