Generative Models for Effective ML on Private, Decentralized Datasets

15 November 2019

S. Augenstein

H. B. McMahan

Daniel Ramage

Swaroop Indra Ramaswamy

Peter Kairouz

Mingqing Chen

Rajiv Mathews

Blaise Agüera y Arcas

SyDa

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Papers citing "Generative Models for Effective ML on Private, Decentralized Datasets"

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Title
PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative Models Kyeongkook Seo Dong-Jun Han Jaejun Yoo 93 1 0 11 Mar 2025
Transfer Learning with Pre-trained Conditional Generative Models Shin'ya Yamaguchi Sekitoshi Kanai Atsutoshi Kumagai Daiki Chijiwa H. Kashima VLM CLL BDL DiffM 215 5 0 21 Feb 2025
AIGC for Industrial Time Series: From Deep Generative Models to Large Generative Models Lei Ren Haiteng Wang Yang Tang Yang Tang Chunhua Yang AI4TS AI4CE 85 5 0 16 Jul 2024
State-of-the-Art Approaches to Enhancing Privacy Preservation of Machine Learning Datasets: A Survey Chaoyu Zhang Shaoyu Li AILaw 91 4 0 25 Feb 2024
An Operator Splitting View of Federated Learning Saber Malekmohammadi Kiarash Shaloudegi Zeou Hu Yaoliang Yu FedML 70 2 0 12 Aug 2021
Understanding Unintended Memorization in Federated Learning Om Thakkar Swaroop Indra Ramaswamy Rajiv Mathews Franccoise Beaufays FedML 52 47 0 12 Jun 2020
DP-CGAN: Differentially Private Synthetic Data and Label Generation Reihaneh Torkzadehmahani Peter Kairouz B. Paten SyDa 57 236 0 27 Jan 2020
Taxonomy of Real Faults in Deep Learning Systems Nargiz Humbatova Gunel Jahangirova Gabriele Bavota Vincenzo Riccio Andrea Stocco Paolo Tonella 75 267 0 24 Oct 2019
Image Counterfactual Sensitivity Analysis for Detecting Unintended Bias Emily L. Denton B. Hutchinson Margaret Mitchell Timnit Gebru Andrew Zaldivar CVBM 52 130 0 14 Jun 2019
Towards Federated Learning at Scale: System Design Keith Bonawitz Hubert Eichner W. Grieskamp Dzmitry Huba A. Ingerman ... H. B. McMahan Timon Van Overveldt David Petrou Daniel Ramage Jason Roselander FedML 105 2,660 0 04 Feb 2019
Differentially Private Generative Adversarial Networks for Time Series, Continuous, and Discrete Open Data Lorenzo Frigerio Anderson Santana de Oliveira L. Gomez Patrick Duverger SyDa AI4TS 50 110 0 08 Jan 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 524 10,527 0 12 Dec 2018
Applied Federated Learning: Improving Google Keyboard Query Suggestions Timothy Yang Galen Andrew Hubert Eichner Haicheng Sun Wei Li Nicholas Kong Daniel Ramage F. Beaufays FedML 83 625 0 07 Dec 2018
LEAF: A Benchmark for Federated Settings S. Caldas Sai Meher Karthik Duddu Peter Wu Tian Li Jakub Konecný H. B. McMahan Virginia Smith Ameet Talwalkar FedML 122 1,417 0 03 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
Subsampled Rényi Differential Privacy and Analytical Moments Accountant Yu Wang Borja Balle S. Kasiviswanathan 68 398 0 31 Jul 2018
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 167 9,533 0 31 Mar 2017
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 452 9,027 0 10 Jun 2016
FaceNet: A Unified Embedding for Face Recognition and Clustering Florian Schroff Dmitry Kalenichenko James Philbin 3DH 328 13,123 0 12 Mar 2015
Long Short-Term Memory Based Recurrent Neural Network Architectures for Large Vocabulary Speech Recognition Hasim Sak A. Senior F. Beaufays 81 1,049 0 05 Feb 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 406 16,947 0 20 Dec 2013
The Composition Theorem for Differential Privacy Peter Kairouz Sewoong Oh Pramod Viswanath 98 679 0 04 Nov 2013