MSc Artificial Intelligence Students' projects
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"Neuromorphic Architectures for Asynchronous Decentralized Resource Management"

"Decentralised Resource Sharing in Federated TinyML Networks to enable Generative AI on Constrained Devices"

"Optimisation and Deployment of SML:A Pareto Optimal Approach"

"Enhancing Driving Style: Personalised Performance Improvement through Machine Learning"

"On-Device and Continual Learning for Adaptive TinyML Systems"

"Multi-Level Audio-Text Feature Extraction and Fusion on wearable"

"Multi-Modal Knowledge Distillation for the extreme Edge"

"Decentralized Resource Sharing Using Reservoir Computing and GNN"

"Reinforcement Learning for Collaborative Tiny Autonomous Vehicles"

"Serverless Federated Learning Framework"

"TinyML-Powered MCU-Based Sensing System for Livestock Behavioral Analysis and Tracking"

"Fine-Tuning Deep Learning Models on MCUs for Resource-Aware Personalized Inference at the Edge"

"Combinatorial Spatiotemporal Resource Optimization Integrated with Graph Echo-State Reinforcement Learning"