Federated Learning and data poisoning
New blogpost up - what is data poisoning in the federated learning space? It’s a attack mechanism which aims to degenerate the model, inflicting much lesser accuracy and therefore make the outcome biased. Read the blogpost => https://engineering.databloom.ai/2022/02/poisoning-attacks-in-federated-learning.html
New blogpost up - what is data poisoning in the federated learning space? It’s a attack mechanism which aims to degenerate the model, inflicting much lesser accuracy and therefore make the outcome biased. Read the blogpost => https://engineering.databloom.ai/2022/02/poisoning-attacks-in-federated-learning.html