The issue of group fairness in machine learning models, where certain
su...
Distributed machine learning approaches, including a broad class of fede...
Federated Learning (FL) is a well-established technique for privacy
pres...
Budgeted adaptive inference with early exits is an emerging technique to...
IoT-enabled devices continue to generate a massive amount of data.
Trans...
The recent advances in network management automation and Software-Define...