Federated Learning and Differential Privacy Techniques on Multi-hospital
Population-scale Electrocardiogram Data

Federated Learning and Differential Privacy Techniques on Multi-hospital Population-scale Electrocardiogram Data

26 April 2024

Vikhyat Agrawal

Sunil Vasu Kalmady

Venkataseetharam Manoj Malipeddi

Manisimha Manthena

Weijie Sun

Russell Greiner

Papers citing "Federated Learning and Differential Privacy Techniques on Multi-hospital Population-scale Electrocardiogram Data"

19 / 19 papers shown

Title
How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy Natalia Ponomareva Hussein Hazimeh Alexey Kurakin Zheng Xu Carson E. Denison H. B. McMahan Sergei Vassilvitskii Steve Chien Abhradeep Thakurta 143 178 0 01 Mar 2023
Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges Madhura Joshi Ankit Pal Malaikannan Sankarasubbu OOD AI4CE FedML 55 96 0 15 Nov 2022
ECG for high-throughput screening of multiple diseases: Proof-of-concept using multi-diagnosis deep learning from population-based datasets Weijie Sun Sunil Vasu Kalmady Amir Salimi N. Sepehrvand Eric Ly Abram Hindle Russ Greiner Padma Kaul 29 8 0 06 Oct 2022
ECG Biometric Recognition: Review, System Proposal, and Benchmark Evaluation Pietro Melzi Ruben Tolosana R. Vera-Rodríguez 41 32 0 08 Apr 2022
Gradient Masked Averaging for Federated Learning Irene Tenison Sai Aravind Sreeramadas Vaikkunth Mugunthan Edouard Oyallon Irina Rish Eugene Belilovsky FedML 80 25 0 28 Jan 2022
Opacus: User-Friendly Differential Privacy Library in PyTorch Ashkan Yousefpour I. Shilov Alexandre Sablayrolles Davide Testuggine Karthik Prasad ... Sayan Gosh Akash Bharadwaj Jessica Zhao Graham Cormode Ilya Mironov VLM 267 363 0 25 Sep 2021
Federated Learning on Non-IID Data: A Survey Hangyu Zhu Jinjin Xu Shiqing Liu Yaochu Jin OOD FedML 74 790 0 12 Jun 2021
Designing ECG Monitoring Healthcare System with Federated Transfer Learning and Explainable AI Ali Raza K. Tran L. Koehl Shujun Li 51 132 0 26 May 2021
Rényi Differential Privacy of the Sampled Gaussian Mechanism Ilya Mironov Kunal Talwar Li Zhang 73 282 0 28 Aug 2019
Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) Network A. Sherstinsky 64 3,689 0 09 Aug 2018
Deep Learning using Rectified Linear Units (ReLU) Abien Fred Agarap 58 3,212 0 22 Mar 2018
Renyi Differential Privacy Ilya Mironov 77 1,253 0 24 Feb 2017
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 230 4,103 0 18 Oct 2016
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
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
An Introduction to Convolutional Neural Networks K. O’Shea Ryan Nash FaML HAI 62 3,126 0 26 Nov 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 428 43,234 0 11 Feb 2015
Differential Privacy and Machine Learning: a Survey and Review Zhanglong Ji Zachary Chase Lipton Charles Elkan SyDa 46 258 0 24 Dec 2014
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.5K 149,842 0 22 Dec 2014

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