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Found 2 papers, 1 papers with code
FedUKD: Federated UNet Model with Knowledge Distillation for Land Use Classification from Satellite and Street Views
The need for a Federated approach in this application domain would be to avoid transfer of data from distributed locations and save network bandwidth to reduce communication cost.
HyBNN and FedHyBNN: (Federated) Hybrid Binary Neural Networks
In this paper, we introduce a novel hybrid neural network architecture, Hybrid Binary Neural Network (HyBNN), consisting of a task-independent, general, full-precision variational autoencoder with a binary latent space and a task specific binary neural network that is able to greatly limit the accuracy loss due to input binarization by using the full precision variational autoencoder as a feature extractor.
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