Towards Sparse Federated Analytics: Location Heatmaps under Distributed
Differential Privacy with Secure Aggregation

Towards Sparse Federated Analytics: Location Heatmaps under Distributed Differential Privacy with Secure Aggregation

3 November 2021

Eugene Bagdasaryan

Kallista A. Bonawitz

Papers citing "Towards Sparse Federated Analytics: Location Heatmaps under Distributed Differential Privacy with Secure Aggregation"

14 / 14 papers shown

Title
$Infinitely Divisible Noise for Differential Privacy: Nearly Optimal Error in the High $\varepsilon$ Regime$ Infinitely Divisible Noise for Differential Privacy: Nearly Optimal Error in the High $\varepsilon$ Regime Charlie Harrison Pasin Manurangsi 26 0 0 07 Apr 2025
PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs Charlie Hou Akshat Shrivastava Hongyuan Zhan Rylan Conway Trang Le Adithya Sagar Giulia Fanti Daniel Lazar 36 8 0 05 Jun 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
Federated Computing -- Survey on Building Blocks, Extensions and Systems René Schwermer R. Mayer Hans-Arno Jacobsen FedML 37 1 0 03 Apr 2024
Federated Analytics-Empowered Frequent Pattern Mining for Decentralized Web 3.0 Applications Zibo Wang Yifei Zhu Dan Wang Zhu Han 24 2 0 15 Feb 2024
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 27 7 0 21 Jul 2023
Private Federated Statistics in an Interactive Setting Audra McMillan O. Javidbakht Kunal Talwar Elliot Briggs Mike Chatzidakis ... Paul J. Pelzl Rehan Rishi Congzheng Song Shan Wang Shundong Zhou FedML 24 6 0 18 Nov 2022
Federated Select: A Primitive for Communication- and Memory-Efficient Federated Learning Zachary B. Charles Kallista A. Bonawitz Stanislav Chiknavaryan H. B. McMahan Blaise Agüera y Arcas FedML 23 13 0 19 Aug 2022
FedWalk: Communication Efficient Federated Unsupervised Node Embedding with Differential Privacy Qiying Pan Yifei Zhu FedML 17 18 0 31 May 2022
Location Leakage in Federated Signal Maps Evita Bakopoulou Justin Ley Jiang Zhang Konstantinos Psounis A. Markopoulou FedML 20 5 0 07 Dec 2021
Locally Differentially Private Sparse Vector Aggregation Mingxun Zhou Tianhao Wang T-H. Hubert Chan Giulia Fanti E. Shi FedML 45 28 0 07 Dec 2021
Private Aggregation from Fewer Anonymous Messages Badih Ghazi Pasin Manurangsi Rasmus Pagh A. Velingker FedML 47 55 0 24 Sep 2019
Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity Ulfar Erlingsson Vitaly Feldman Ilya Mironov A. Raghunathan Kunal Talwar Abhradeep Thakurta 147 420 0 29 Nov 2018
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