Co-learning is a model involving agents from a large population, who interact by playing a fixed game and update their behaviour based on previous experience and the outcome of th...
Martin E. Dyer, Leslie Ann Goldberg, Catherine S. ...
Distributed averaging describes a class of network algorithms for the decentralized computation of aggregate statistics. Initially, each node has a scalar data value, and the goal...
An important concept in the available bit rate (ABR) service model as defined by the ATM Forum is the minimum cell rate (MCR) guarantee as well as the peak cell rate (PCR) constra...
Yiwei Thomas Hou, Henry H.-Y. Tzeng, Shivendra S. ...
Abstract--In the past few years, the problem of distributed consensus has received a lot of attention, particularly in the framework of ad hoc sensor networks. Most methods propose...
— This paper quantifies the information rate of multiple-input multiple-output (MIMO) systems with finite rate channel state feedback and power on/off strategy. In power on/off...
Wei Dai, Youjian Liu, Brian Rider, Vincent K. N. L...