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Anthony Kuh

2 accepted papers

2022

Communication-Efficient Online Federated Learning Framework for Nonlinear Regression

ICASSP 2022accepted

Federated learning (FL) literature typically assumes that each client has a fixed amount of data, which is unrealistic in many practical applications. Some recent works introduced a framework for online FL (Online-Fed) wherein clients perform model learning on streaming data and communicate the mode…

Cited by 0SourceScholar
2016

Online least-squares one-class support vector machine for outlier detection in power grid data

ICASSP 2016accepted

This paper addresses the problem of outlier detection in the power grid. A sparse online least squares one-class support vector machine classification algorithm is presented to detect outliers in a data stream. An approximate linear dependence criteria is used to obtain a sparse solution by sequenti…

Cited by 0SourceScholar