Apr 27, 2024 · In this paper, we propose TabVFL, a distributed framework designed to improve latent representation learning using the joint features of participants.
Apr 27, 2024 · In this paper, we propose TabVFL, a distributed framework designed to improve latent representation learning using the joint features of participants.
In this paper, we propose TabVFL, a distributed framework designed to improve latent representation learning using the joint features of participants. The ...
In this paper, we propose TabVFL, a distributed framework designed to improve latent representation learning using the joint features of participants. The ...
TabVFL: Improving Latent Representation in Vertical Federated Learning. Rashad, M., Zhao, Z., Decouchant, J., & Chen, L. Y. CoRR, 2024.
The paper demonstrates through experiments that TabVFL outperforms existing vertical federated learning approaches in terms of model accuracy and other ...
Feb 19, 2024 · TabVFL: Improving Latent Representation in Vertical Federated Learning · System Identification of Neural Systems: Going Beyond Images to ...
Implementing Vertical Federated Learning Using Autoencoders
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TabVFL: Improving Latent Representation in Vertical Federated Learning ... TabVFL is a distributed framework designed to improve latent representation learning ...
The existing design of training autoencoders in VFL is to train a separate autoencoder in each participant and aggregate the latent representation later.
TabVFL: Improving Latent Representation in Vertical Federated Learning ... TabVFL is a distributed framework designed to improve latent representation learning ...