Federated Heavy Hitters Discovery with Differential Privacy

22 February 2019

Papers citing "Federated Heavy Hitters Discovery with Differential Privacy"

22 / 22 papers shown

Title
Federated Heavy Hitter Analytics with Local Differential Privacy Yuemin Zhang Qingqing Ye Haibo Hu FedML 82 1 0 03 Jan 2025
Better Locally Private Sparse Estimation Given Multiple Samples Per User Yuheng Ma Ke Jia Hanfang Yang FedML 36 1 0 08 Aug 2024
A Survey on Federated Analytics: Taxonomy, Enabling Techniques, Applications and Open Issues Zibo Wang Haichao Ji Yifei Zhu Dan Wang Zhu Han 51 1 0 19 Apr 2024
Samplable Anonymous Aggregation for Private Federated Data Analysis Kunal Talwar Shan Wang Audra McMillan Vojta Jina Vitaly Feldman ... Congzheng Song Karl Tarbe Sebastian Vogt L. Winstrom Shundong Zhou FedML 38 13 0 27 Jul 2023
Differentially Private Heavy Hitter Detection using Federated Analytics Karan N. Chadha Junye Chen John C. Duchi Vitaly Feldman H. Hashemi O. Javidbakht Audra McMillan Kunal Talwar FedML 19 7 0 21 Jul 2023
Privacy-Preserving Federated Heavy Hitter Analytics for Non-IID Data Jiaqi Shao Shanshan Han Chaoyang He B. Luo FedML 28 1 0 05 Jul 2023
Private Multi-Winner Voting for Machine Learning Adam Dziedzic Christopher A. Choquette-Choo Natalie Dullerud Vinith M. Suriyakumar Ali Shahin Shamsabadi Muhammad Ahmad Kaleem S. Jha Nicolas Papernot Xiao Wang 42 1 0 23 Nov 2022
An Experimental Study on Private Aggregation of Teacher Ensemble Learning for End-to-End Speech Recognition Chao-Han Huck Yang I-Fan Chen A. Stolcke Sabato Marco Siniscalchi Chin-Hui Lee 27 2 0 11 Oct 2022
Analytical Composition of Differential Privacy via the Edgeworth Accountant Hua Wang Sheng-yang Gao Huanyu Zhang Milan Shen Weijie J. Su FedML 28 21 0 09 Jun 2022
Training a Tokenizer for Free with Private Federated Learning Eugene Bagdasaryan Congzheng Song Rogier van Dalen M. Seigel Áine Cahill FedML 22 5 0 15 Mar 2022
Federated Learning with Heterogeneous Architectures using Graph HyperNetworks Or Litany Haggai Maron David Acuna Jan Kautz Gal Chechik Sanja Fidler FedML 38 24 0 20 Jan 2022
What Do We Mean by Generalization in Federated Learning? Honglin Yuan Warren Morningstar Lin Ning K. Singhal OOD FedML 41 71 0 27 Oct 2021
Personalized Federated Learning with Gaussian Processes Idan Achituve Aviv Shamsian Aviv Navon Gal Chechik Ethan Fetaya FedML 29 98 0 29 Jun 2021
Breaking The Dimension Dependence in Sparse Distribution Estimation under Communication Constraints Wei-Ning Chen Peter Kairouz Ayfer Özgür 16 11 0 16 Jun 2021
Private Cross-Silo Federated Learning for Extracting Vaccine Adverse Event Mentions Pallika H. Kanani Virendra J. Marathe Daniel W. Peterson R. Harpaz Steve Bright FedML 10 9 0 12 Mar 2021
Personalized Federated Learning using Hypernetworks Aviv Shamsian Aviv Navon Ethan Fetaya Gal Chechik FedML 35 324 0 08 Mar 2021
FLaaS: Federated Learning as a Service N. Kourtellis Kleomenis Katevas Diego Perino FedML 16 60 0 18 Nov 2020
Personalized Federated Learning: A Meta-Learning Approach Alireza Fallah Aryan Mokhtari Asuman Ozdaglar FedML 36 561 0 19 Feb 2020
A Federated Learning Approach for Mobile Packet Classification Evita Bakopoulou Bálint Tillman A. Markopoulou 13 30 0 30 Jul 2019
Practical Differentially Private Top- $k$ Selection with Pay-what-you-get Composition D. Durfee Ryan M. Rogers 15 82 0 10 May 2019
Federated Learning Of Out-Of-Vocabulary Words Mingqing Chen Rajiv Mathews Tom Y. Ouyang F. Beaufays FedML 22 162 0 26 Mar 2019
Prochlo: Strong Privacy for Analytics in the Crowd Andrea Bittau Ulfar Erlingsson Petros Maniatis Ilya Mironov A. Raghunathan David Lie Mitch Rudominer Ushasree Kode J. Tinnés B. Seefeld 91 278 0 02 Oct 2017