10 papers
Genetic optimization algorithms applied toward mission computability models
Mee Seong Im, Venkat R. Dasari
Genetic algorithms are modeled after the biological evolutionary processes that use natural selection to select the best species to survive. They are heuristics based and low cost…
Solving machine learning optimization problems using quantum computers
Venkat R. Dasari, Mee Seong Im, Lubjana Beshaj
Classical optimization algorithms in machine learning often take a long time to compute when applied to a multi-dimensional problem and require a huge amount of CPU and GPU resourc…
Private and Rateless Adaptive Coded Matrix-Vector Multiplication
Rawad Bitar, Yuxuan Xing, Yasaman Keshtkarjahromi +3
Edge computing is emerging as a new paradigm to allow processing data near the edge of the network, where the data is typically generated and collected. This enables critical compu…
Secure Coded Cooperative Computation at the Heterogeneous Edge against Byzantine Attacks
Yasaman Keshtkarjahromi, Rawad Bitar, Venkat Dasari +2
Edge computing is emerging as a new paradigm to allow processing data at the edge of the network, where data is typically generated and collected, by exploiting multiple devices at…
Detecting Network Soft-failures with the Network Link Outlier Factor (NLOF)
Christopher Mendoza, Venkat Dasari, Michael P. McGarry
In this paper, we describe and experimentally evaluate the performance of our Network Link Outlier Factor (NLOF) for detecting soft-failures in communication networks. The NLOF is…
Optimization problems with low SWaP tactical Computing
Mee Seong Im, Venkat R. Dasari, Lubjana Beshaj +1
In a resource-constrained, contested environment, computing resources need to be aware of possible size, weight, and power (SWaP) restrictions. SWaP-aware computational efficiency…