Hierarchical Federated Learning with Privacy

10 June 2022

Papers citing "Hierarchical Federated Learning with Privacy"

5 / 5 papers shown

Title
When the Curious Abandon Honesty: Federated Learning Is Not Private Franziska Boenisch Adam Dziedzic R. Schuster Ali Shahin Shamsabadi Ilia Shumailov Nicolas Papernot FedML AAML 69 181 0 06 Dec 2021
Systematic Evaluation of Privacy Risks of Machine Learning Models Liwei Song Prateek Mittal MIACV 194 358 0 24 Mar 2020
Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity Ulfar Erlingsson Vitaly Feldman Ilya Mironov A. Raghunathan Kunal Talwar Abhradeep Thakurta 138 420 0 29 Nov 2018
SBFT: a Scalable and Decentralized Trust Infrastructure Guy Golan Gueta Ittai Abraham Shelly Grossman Dahlia Malkhi Benny Pinkas Michael K. Reiter Dragos-Adrian Seredinschi Orr Tamir Alin Tomescu 57 369 0 04 Apr 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 83 278 0 02 Oct 2017