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Exploring Machine Learning Approaches to Precipitation Prediction: Post Processing of Daily Accumulated North American forecasts
(University 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 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 ...