Machine Learning (ML) models contain highly-parallel computations, such ...
Machine learning models made up of millions or billions of parameters ar...
Large ML models and datasets have necessitated the use of multi-GPU syst...
Collective communication algorithms are an important component of distri...
Stochastic gradient descent (SGD) is an inherently sequential training
a...
Fully-Homomorphic Encryption (FHE) offers powerful capabilities by enabl...
We propose an efficient algorithm for determinising counting automata (C...
Word embeddings capture semantic and syntactic similarities of words,
re...
Fully Homomorphic Encryption (FHE) refers to a set of encryption schemes...