We study in this paper the problem of broadcasting dependent data for unordered queries. However, most prior studies on dependent data broadcasting are limited to the premise of n...
This paper presents efficient all-to-all broadcast algorithms for arbitrary irregular networks with switch-based wormhole interconnection and unicast message passing. First, all-t...
Matthew G. Jacunski, P. Sadayappan, Dhabaleswar K....
Monitoring a distributed system to detect a stable property is an important problem with many applications. The problem is especially challenging for a dynamic distributed system b...
We investigate coin-flipping protocols for multiple parties in a quantum broadcast setting: • We propose and motivate a definition for quantum broadcast. Our model of quantum ...
Andris Ambainis, Harry Buhrman, Yevgeniy Dodis, He...
Multiple Instance Learning (MIL) provides a framework for training a discriminative classifier from data with ambiguous labels. This framework is well suited for the task of learni...
Carolina Galleguillos, Boris Babenko, Andrew Rabin...