A federated Transformer training method that transmits k-means centroids instead of weights, but whose convergence proof is flawed and privacy claim is unsupported.
Scalable and efficient training of large convolutional neural networks with differential privacy
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Trustformer: A Trusted Federated Transformer
A federated Transformer training method that transmits k-means centroids instead of weights, but whose convergence proof is flawed and privacy claim is unsupported.