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TESSERACT: Gradient Flip Score to Secure Federated Learning Against
  Model Poisoning Attacks

TESSERACT: Gradient Flip Score to Secure Federated Learning Against Model Poisoning Attacks

19 October 2021
Atul Sharma
Wei Chen
Joshua C. Zhao
Qiang Qiu
Somali Chaterji
S. Bagchi
    FedML
    AAML
ArXivPDFHTML

Papers citing "TESSERACT: Gradient Flip Score to Secure Federated Learning Against Model Poisoning Attacks"

4 / 4 papers shown
Title
Extra Clients at No Extra Cost: Overcome Data Heterogeneity in Federated Learning with Filter Decomposition
Wei Chen
Qiang Qiu
FedML
69
0
0
11 Mar 2025
Accelerated Federated Learning with Decoupled Adaptive Optimization
Accelerated Federated Learning with Decoupled Adaptive Optimization
Jiayin Jin
Jiaxiang Ren
Yang Zhou
Lingjuan Lyu
Ji Liu
Dejing Dou
AI4CE
FedML
19
51
0
14 Jul 2022
On the Security & Privacy in Federated Learning
On the Security & Privacy in Federated Learning
Gorka Abad
S. Picek
Víctor Julio Ramírez-Durán
A. Urbieta
44
11
0
10 Dec 2021
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
117
611
0
27 Dec 2020
1