BlockFLow: An Accountable and Privacy-Preserving Solution for Federated Learning

8 July 2020

Papers citing "BlockFLow: An Accountable and Privacy-Preserving Solution for Federated Learning"

5 / 5 papers shown

Title
Federated learning with differential privacy and an untrusted aggregator Kunlong Liu Trinabh Gupta 50 0 0 17 Dec 2023
FederatedTrust: A Solution for Trustworthy Federated Learning Pedro Miguel Sánchez Sánchez Alberto Huertas Celdrán Ning Xie Gérome Bovet Gregorio Martínez Pérez Burkhard Stiller 36 21 0 20 Feb 2023
FedDebug: Systematic Debugging for Federated Learning Applications Waris Gill A. Anwar Muhammad Ali Gulzar FedML 31 11 0 09 Jan 2023
Differential Privacy: What is all the noise about? Roxana Dánger Mercaderes 38 3 0 19 May 2022
Fairness, Integrity, and Privacy in a Scalable Blockchain-based Federated Learning System Timon Rückel Johannes Sedlmeir Peter Hofmann FedML 24 58 0 11 Nov 2021