RFLBAT: A Robust Federated Learning Algorithm against Backdoor Attack. (arXiv:2201.03772v1 [cs.CR])

Federated learning (FL) is a distributed machine learning paradigm where
enormous scattered clients (e.g. mobile devices or IoT devices) collaboratively
train a model under the orchestration of a central server (e.g. service
provider), while keeping the training data decentralized. Unfortunately, FL is
susceptible to a variety of attacks, including backdoor attack, which is made
substantially worse in the presence of malicious attackers. Most of algorithms
usually assume that the malicious at tackers no more than benign clients or the
data …

attack backdoor