Browsing by Subject "Neural Networks"
Now showing items 1-2 of 2
-
Exploring Machine Learning Approaches to Precipitation Prediction: Post Processing of Daily Accumulated North American forecasts
(University of WinnipegUniversity of Winnipeg, 2023-11-22)This thesis presents recent work on exploring machine learning (ML) and deep learning (DL) models to improve the accuracy of 24 hour precipitation forecasts. Leveraging a comprehensive North American dataset of precipitation ... -
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 ...