Tejas Vitthal Bhise

FedShield: A Dual Algorithm Defense Against Backdoor and Poisoning Attacks in Federated Learning

Federated Learning (FL) allows multiple clients to train a single model across devices, safeguarding data privacy in decentralised setups. However, while data does not leave the client, clients can still manipulate the model updates. This makes FL susceptible to poisoning and backdoor attacks. Backdoor attacks are part...