Master's thesis: Knowledge Transfer and Federated Learning for Heterogeneous Object Detection Models in Autonomous Vehicles
Tasks
- Analyze federated learning for knowledge transfer
- Conduct experiments using multi modal sensor data
- Develop federated learning framework for real time deployment
- Evaluate model updating without full retraining
- Handle object detection model performance with architecture changes
- Investigate knowledge transfer between models and hardware setups
Perks/Benefits
- N/A
Skills/Tech-stack
Computer Vision | Deep learning | Federated Learning | Machine Learning | Python
Education
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