9 citations · 10 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 1 cited
Inhibitor Transformers and Gated RNNs for Torus Efficient Fully Homomorphic Encryption
Rickard Brännvall, Tony Zhang, Henrik Forsgren +3
This paper introduces efficient modifications to neural network-based sequence processing approaches, laying new grounds for scalable privacy-preserving machine learning under Full…
cs.DS2011★ 9 cited
Incremental dimension reduction of tensors with random index
Fredrik Sandin, Blerim Emruli, Magnus Sahlgren
We present an incremental, scalable and efficient dimension reduction technique for tensors that is based on sparse random linear coding. Data is stored in a compactified represent…