Shrinkage-based exponential language models, such as the recently introduced Model M, have provided significant gains over a range of tasks [1]. Training such models requires a l...
Abhinav Sethy, Stanley F. Chen, Bhuvana Ramabhadra...
Abstract--This research investigates the problem of robust dynamic resource allocation for heterogeneous distributed computing systems operating under imposed constraints. Often, s...
Jay Smith, Edwin K. P. Chong, Anthony A. Maciejews...
We introduce a distributed adaptive estimation algorithm operating in an ideal fully connected sensor network. The algorithm estimates node-specific signals at each node based on...
Abstract— The most widely applied resource allocation strategy is to balance, or equalize, the total workload assigned to each resource. In mobile multi-agent systems, this princ...
—In this paper the Self-Localization problem for Sensor Networks is addressed. Given a set of nodes deployed in an environment, self-localization consists of finding out the loc...
Andrea Gasparri, Federica Pascucci, Giovanni Ulivi