Training a machine learning model is both compute and data-intensive. Mo...
In this paper, we propose coded Merkle tree (CMT), a novel hash accumula...
We introduce an information-theoretic framework, named Coded State Machi...
Distributed training of deep nets is an important technique to address s...
Data parallelism can boost the training speed of convolutional neural
ne...
Today's blockchains do not scale in a meaningful sense. As more nodes jo...
We apply linear network coding (LNC) to broadcast a block of data packet...