Explore projects

This research is focused on handling the challenges of non-IID distributed data on autonomous vehicles by integrating Federated Learning. Compared to traditional centralized IDS, which requires centralized data processing, Federated Learning approach allows sensitive data to stay on the local devices, since FL requires only model updates for aggregation and averaging purposes.

Ocean Gyre

Project 2, modelling the subtropical gyre

Coursework fro Cloud Computing - CSMBD21

Code and report for the overshooting tests

Julia packages and scripts to perform Rare Event Simulation with Plasim

ENSO ROM Oscillator

Version control for my final year project