Neural Architecture Search

COLIBRI: Optimizing Multi-party Secure Neural Network Inference Time for Transformers

Secure Neural Network Inference (SNNI) protocols enable privacy-preserving inference by ensuring the confidentiality of inputs, model weights, and outputs. However, large neural networks, particularly Transformers, face significant challenges in SNNI …

Designing convolutional neural networks with constrained evolutionary piecemeal training

The automated architecture search methodology for neural networks is known as Neural Architecture Search (NAS). In recent times, Convolutional Neural Networks (CNNs) designed through NAS methodologies have achieved very high performance in several …