Maybe give motivations about why the paper should be implemented as a baseline.
FedDefender is a defense against backdoor attacks in federated learning by leveraging differential testing for FL. FedDefender minimizes the impact of a malicious client on the global model by limiting its contribution to the aggregated global model. FedDefender fingerprints the neuron activations of clients’ models on the same input and uses differential testing to identify potential malicious clients.
Is there something else you want to add?
No response
Implementation
To implement this baseline, it is recommended to do the following items in that order:
Paper
Gill, Waris and Anwar, Ali and Gulzar, Muhammad Ali(2023) - FedDefender: Backdoor Attack Defense in Federated Learning
Link
https://arxiv.org/abs/2307.08672
Maybe give motivations about why the paper should be implemented as a baseline.
FedDefender is a defense against backdoor attacks in federated learning by leveraging differential testing for FL. FedDefender minimizes the impact of a malicious client on the global model by limiting its contribution to the aggregated global model. FedDefender fingerprints the neuron activations of clients’ models on the same input and uses differential testing to identify potential malicious clients.
Is there something else you want to add?
No response
Implementation
To implement this baseline, it is recommended to do the following items in that order:
For first time contributors
first contributiondocPrepare - understand the scope
Verify your implementation
EXTENDED_README.mdthat was created in your baseline directoryREADME.mdis ready to be run by someone that is no familiar with your code. Are all step-by-step instructions clear?README.mdand verify everything runs.