Towards Efficient Privacy-Preserving Deep Learning: HE-Friendly Structures, Flexible Pruning, HE-Efficient Architectures, and Secure Transformer Token Drop
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Towards Efficient Privacy-Preserving Deep Learning: HE-Friendly Structures, Flexible Pruning, HE-Efficient Architectures, and Secure Transformer Token Drop