DART: A Solution for Decentralized Federated Learning Model Robustness
Analysis

DART: A Solution for Decentralized Federated Learning Model Robustness Analysis

11 July 2024

Alberto Huertas Celdrán

Jan von der Assen

Enrique Tomás Martínez Beltrán

Burkhard Stiller

Papers citing "DART: A Solution for Decentralized Federated Learning Model Robustness Analysis"

6 / 6 papers shown

Title
Leveraging MTD to Mitigate Poisoning Attacks in Decentralized FL with Non-IID Data Chao Feng Alberto Huertas Celdrán Zien Zeng Zi Ye Jan von der Assen Gérome Bovet Burkhard Stiller AAML 20 0 0 28 Sep 2024
CyberForce: A Federated Reinforcement Learning Framework for Malware Mitigation Chao Feng Alberto Huertas Celdrán Pedro Miguel Sánchez Sánchez Jan Kreischer Jan von der Assen Gérome Bovet Gregorio Martínez Pérez Burkhard Stiller 22 1 0 11 Aug 2023
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy Yifei Zhang Dun Zeng Jinglong Luo Zenglin Xu Irwin King FedML 69 47 0 21 Feb 2023
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping Xiaoyu Cao Minghong Fang Jia Liu Neil Zhenqiang Gong FedML 102 610 0 27 Dec 2020
Privacy and Robustness in Federated Learning: Attacks and Defenses Lingjuan Lyu Han Yu Xingjun Ma Chen Chen Lichao Sun Jun Zhao Qiang Yang Philip S. Yu FedML 169 351 0 07 Dec 2020
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 948 20,471 0 17 Apr 2017