FelixOtt/gnss_federated_learning

Federated Few-Shot Learning for Distributed Interference Classification in GNSS Data Latest update: 2024-10-30 Project size: 11 MB Introduction Federated learning (FL) enables multiple devices to collaboratively train a global model while maintaining data on local servers. Each device trains the model on its local server and shares only the model updates (i.e., gradient weights) during the aggregation step. A significant challenge in FL is managing the feature… See the full description on the dataset page: https://huggingface.co/datasets/FelixOtt/gnss_federated_learning.

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