Contextual bandit learning is a reinforcement learning problem where the learner repeatedly receives a set of features (context), takes an action and receives a reward based on th...
Embedded wireless networks have largely focused on openloop sensing and monitoring. To address actuation in closedloop wireless control systems there is a strong need to re-think ...
The address sequence on the processor-memory bus can reveal abundant information about the control flow of a program. This can lead to critical information leakage such as encryp...
Lan Gao, Jun Yang 0002, Marek Chrobak, Youtao Zhan...
This paper addresses the difficult problem of selecting representative samples of peer properties (e.g., degree, link bandwidth, number of files shared) in unstructured peer-to-p...
Daniel Stutzbach, Reza Rejaie, Nick G. Duffield, S...
The increase of IEEE 802.11’s bandwidth led to a deployment of many multimedia applications over wireless networks. Nevertheless, these applications impose stringent constraints...