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» Effects of topology in networked systems: Stochastic methods...
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CDC
2008
IEEE
13 years 11 months ago
Effects of topology in networked systems: Stochastic methods and small worlds
— The topology of a networked control system has critical consequences for its performance. We provide first substantial examples on the effects of topology. Then we proceed to ...
John S. Baras, Pedram Hovareshti
CDC
2008
IEEE
109views Control Systems» more  CDC 2008»
13 years 11 months ago
Average consensus over small world networks: A probabilistic framework
— It has been observed that adding a few long range edges to certain graph topologies can significantly increase the rate of convergence for consensus algorithms. A notable exam...
Pedram Hovareshti, John S. Baras, Vijay Gupta
MOBIHOC
2009
ACM
14 years 5 months ago
Fine-grained boundary recognition in wireless ad hoc and sensor networks by topological methods
Location-free boundary recognition is crucial and critical for many fundamental network functionalities in wireless ad hoc and sensor networks. Previous designs, often coarse-grai...
Dezun Dong, Yunhao Liu, Xiangke Liao
NIPS
2003
13 years 6 months ago
Learning Curves for Stochastic Gradient Descent in Linear Feedforward Networks
Gradient-following learning methods can encounter problems of implementation in many applications, and stochastic variants are frequently used to overcome these difficulties. We ...
Justin Werfel, Xiaohui Xie, H. Sebastian Seung
CDC
2009
IEEE
155views Control Systems» more  CDC 2009»
13 years 8 months ago
Efficient and robust communication topologies for distributed decision making in networked systems
Distributed decision making in networked systems depends critically on the timely availability of critical fresh information. Performance of networked systems, from the perspective...
John S. Baras, Pedram Hovareshti