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FedRDF: A Robust and Dynamic Aggregation Function against Poisoning
  Attacks in Federated Learning

FedRDF: A Robust and Dynamic Aggregation Function against Poisoning Attacks in Federated Learning

15 February 2024
Enrique Mármol Campos
Aurora González-Vidal
José Luis Hernández Ramos
A. Gómez-Skarmeta
    AAML
ArXivPDFHTML

Papers citing "FedRDF: A Robust and Dynamic Aggregation Function against Poisoning Attacks in Federated Learning"

3 / 3 papers shown
Title
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping
Xiaoyu Cao
Minghong Fang
Jia Liu
Neil Zhenqiang Gong
FedML
99
595
0
27 Dec 2020
Survey of Personalization Techniques for Federated Learning
Survey of Personalization Techniques for Federated Learning
V. Kulkarni
Milind Kulkarni
Aniruddha Pant
FedML
168
323
0
19 Mar 2020
Analyzing Federated Learning through an Adversarial Lens
Analyzing Federated Learning through an Adversarial Lens
A. Bhagoji
Supriyo Chakraborty
Prateek Mittal
S. Calo
FedML
174
1,014
0
29 Nov 2018
1