CyprienQuemeneur/fedpylot
FedPylot: Navigating Federated Learning for Real-Time Object Detection in Internet of Vehicles
This project helps researchers and enthusiasts explore and simplify federated learning for real-time object detection models, specifically for autonomous driving applications. It takes in existing autonomous driving datasets like KITTI or nuImages and outputs trained object detection models. The end-users are researchers or engineers working on self-driving car technology who need to train detection models collaboratively without sharing raw data.
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Use this if you are a researcher in autonomous driving and need a straightforward way to implement and experiment with federated learning for object detection on a high-performance computing (HPC) cluster.
Not ideal if you need advanced compression or privacy-preservation techniques beyond half-precision model updates and hybrid encryption, or if your application isn't focused on real-time object detection for vehicles.
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50
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15
Language
Jupyter Notebook
License
GPL-3.0
Category
Last pushed
May 19, 2025
Commits (30d)
0
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