2024
EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated Learning
IJCAI 2024poster
Federated Learning (FL) is a technique that allows multiple parties to train a shared model collaboratively without disclosing their private data. It has become increasingly popular due to its distinct privacy advantages. However, FL models can suffer from biases against certain demographic groups (…