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TabVFL: Improving Latent Representation in Vertical Federated Learning
The existing design of training autoencoders in VFL is to train a separate autoencoder in each participant and aggregate the latent representation later.
System Identification of Neural Systems: Going Beyond Images to Modelling Dynamics
Towards this end, we propose a system identification study focused on comparing single image vs. video understanding models with respect to the visual cortex recordings.
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