We consider the problem of computing a function of n variables using noi...
Graph alignment refers to the task of finding the vertex correspondence
...
We revisit the problem of computing with noisy information considered in...
PCR testing is an invaluable diagnostic tool that has most recently seen...
Spectral graph neural networks (GNNs) learn graph representations via
sp...
Edge Computing (EC) offers a superior user experience by positioning clo...
Coding schemes for several problems in network information theory are
co...
Training an ensemble of different sub-models has empirically proven to b...
Sorting is the task of ordering n elements using pairwise comparisons. I...
Graph alignment aims at finding the vertex correspondence between two
co...
Gradient coding is a coding theoretic framework to provide robustness ag...
Motivated by various data science applications including de-anonymizing ...
Motivated by the prevalent data science applications of processing and m...
We consider the problem of distributed source simulation with no
communi...