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Stochastic Optimization For Multi-Agent Statistical Learning And Control

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Figure

Figure 1.1: A summary of existing statistical learning tools in terms of different choices of estimatorfunction classobserve that in centralized settings dictionaries can obtain state of the art statistical accuracy, buttheir convergence is limited by the n
Figure 1.2: Part I allowed multi-agent networks to learn low complexity optimal linear statisticalmodels, but their statistical accuracy in practice is limited
Figure 2.5: Comparison of saddle point method (DSPA) against other decentralized online learningmethods as measured bycompared with consensus methods
Table 2.3: Components of feature vector for detecting computer network attacks: Time trafficfeatures derived from user behavior in the last two seconds.
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