We study the psync complexity of concurrent sets in the non-volatile sha...
The entity resolution problem requires finding pairs across datasets tha...
Federated Learning (FL) enables machine learning model training on
distr...
Entity resolution is the task of disambiguating records that refer to th...
Entity resolution is the task of identifying records in different datase...
Federated learning (FL) enables distributed computation of machine learn...
Linearizability, the traditional correctness condition for concurrent da...
Designing low-latency cloud-based applications that are adaptable to
unp...
Permissionless blockchains protocols such as Bitcoin are inherently limi...
State-of-the-art software transactional memory (STM) implementations
ach...
In the cybersecurity research community, there is no one-size-fits-all
s...