research
∙
03/31/2023
FP8 versus INT8 for efficient deep learning inference
Recently, the idea of using FP8 as a number format for neural network tr...
share
research
∙
11/19/2021
An Expectation-Maximization Perspective on Federated Learning
Federated learning describes the distributed training of models across m...
research
∙
04/23/2021
Unsupervised Information Obfuscation for Split Inference of Neural Networks
Splitting network computations between the edge device and a server enab...
research
∙
04/18/2021
Federated Learning of User Verification Models Without Sharing Embeddings
We consider the problem of training User Verification (UV) models in fed...
research
∙
07/09/2020
