— A key step in many statistical learning methods used in machine learning involves solving a convex optimization problem containing one or more hyper-parameters that must be sel...
Kristin P. Bennett, Jing Hu, Xiaoyun Ji, Gautam Ku...
Abstract. The current prototype of the Genoa Active Message MAchine GAMMA is a low-overhead, Active Messages-based inter-process communication layer implemented mainly at kernel le...
Abstract. We re-visit the problem of perfectly secure message transmission (PSMT) in a directed network under the presence of a threshold adaptive Byzantine adversary, having unbou...
Wireless sensor network (WSN) applications sense events in-situ and compute results in-network. Their software components should run on platforms with stringent constraints on nod...
Abstract—We address the problem of maximizing the minimum signal to interference and noise ratio of individual users via linear precoding in a multiuser downlink channel with mul...
Albrecht J. Fehske, Fred Richter, Gerhard Fettweis