Browsing by Subject "Federated Learning"
Now showing items 1-1 of 1
-
Securing Federated Learning Model Aggregation Against Poisoning Attacks via Credit-Based Client Selection
(University of WinnipegUniversity of Winnipeg, 2023-08-29)Federated Learning (FL) has emerged as a revolutionary paradigm in the field of machine learning, enabling multiple participants to collaboratively train models without compromising the privacy of their individual training ...
