How to Democratise and Protect AI: Fair and Differentially Private
Decentralised Deep Learning

How to Democratise and Protect AI: Fair and Differentially Private Decentralised Deep Learning

18 July 2020

Karthik Nandakumar

Jiangshan Yu

Papers citing "How to Democratise and Protect AI: Fair and Differentially Private Decentralised Deep Learning"

15 / 15 papers shown

Title
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions Weiming Zhuang Chen Chen Lingjuan Lyu Chong Chen Yaochu Jin Lingjuan Lyu AIFin AI4CE 147 95 0 27 Jun 2023
Threats to Federated Learning: A Survey Lingjuan Lyu Han Yu Qiang Yang FedML 262 437 0 04 Mar 2020
Differentially Private Fair Learning Matthew Jagielski Michael Kearns Jieming Mao Alina Oprea Aaron Roth Saeed Sharifi-Malvajerdi Jonathan R. Ullman FaML FedML 98 151 0 06 Dec 2018
Privacy-Preserving Distributed Deep Learning for Clinical Data Brett K. Beaulieu-Jones W. Yuan S. G. Finlayson Zhiwei Steven Wu OOD FedML 50 46 0 04 Dec 2018
DP-ADMM: ADMM-based Distributed Learning with Differential Privacy Zonghao Huang Rui Hu Yuanxiong Guo Eric Chan-Tin Yanmin Gong FedML 49 195 0 30 Aug 2018
Differentially Private Generative Adversarial Network Liyang Xie Kaixiang Lin Shu Wang Fei Wang Jiayu Zhou SyDa 79 499 0 19 Feb 2018
ModelChain: Decentralized Privacy-Preserving Healthcare Predictive Modeling Framework on Private Blockchain Networks Tsung-Ting Kuo L. Ohno-Machado OOD 35 234 0 06 Feb 2018
Differentially Private Releasing via Deep Generative Model (Technical Report) Xinyang Zhang S. Ji Ting Wang SyDa 38 71 0 05 Jan 2018
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 169 2,878 0 14 Mar 2017
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning Briland Hitaj G. Ateniese Fernando Perez-Cruz FedML 111 1,399 0 24 Feb 2017
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 191 6,109 0 01 Jul 2016
Revisiting Distributed Synchronous SGD Jianmin Chen Xinghao Pan R. Monga Samy Bengio Rafal Jozefowicz 82 799 0 04 Apr 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 380 17,437 0 17 Feb 2016
Staleness-aware Async-SGD for Distributed Deep Learning Wei Zhang Suyog Gupta Xiangru Lian Ji Liu 55 266 0 18 Nov 2015
Algorithmic Stability for Adaptive Data Analysis Raef Bassily Kobbi Nissim Adam D. Smith Thomas Steinke Uri Stemmer Jonathan R. Ullman 91 267 0 08 Nov 2015

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