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cs.LG2025
DeepShare: Sharing ReLU Across Channels and Layers for Efficient Private Inference
Yonathan Bornfeld, Shai Avidan
Private Inference (PI) uses cryptographic primitives to perform privacy preserving machine learning. In this setting, the owner of the network runs inference on the data of the cli…
cs.LG2025
Coordinate Descent for Network Linearization
Vlad Rakhlin, Amir Jevnisek, Shai Avidan
ReLU activations are the main bottleneck in Private Inference that is based on ResNet networks. This is because they incur significant inference latency. Reducing ReLU count is a d…