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20152026
most citedPersonalized Graph Federated Learning with Differential Privacy

14 citations · 44 across the 19 of their papers we have counts for

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5 papers · 1 filter

eess.SY2017★ 2 cited

A Family of Constrained Adaptive filtering Algorithms Based on Logarithmic Cost

Vinay Chakravarthi Gogineni, Subrahmanyam Mula

This paper introduces a novel constraint adaptive filtering algorithm based on a relative logarithmic cost function which is termed as Constrained Least Mean Logarithmic Square (CL…

eess.SY2017★ 2 cited

Proportionate Adaptive Filtering under Correntropy Criterion in Impulsive Noise Environments

Vinay Chakravarthi Gogineni, Subrahmanyam Mula

An improved proportionate adaptive filter based on the Maximum Correntropy Criterion (IP-MCC) is proposed for identifying the system with variable sparsity in an impulsive noise en…

eess.SY2015

Convergence Analysis of Proportionate-type Least Mean Square Algorithms

Vinay Chakravarthi Gogineni, Subrahmanyam Mula

In this paper, we present the convergence analysis of proportionate-type least mean square (Pt-LMS) algorithm that identifies the sparse system effectively and more suitable for re…

eess.SY2015★ 4 cited

Distributed Multi-task APA over Adaptive Networks Based on Partial Diffusion

Vinay Chakravarthi Gogineni, Mrityunjoy Chakraborty

Distributed multi-task adaptive strategies are useful to estimate multiple parameter vectors simultaneously in a collaborative manner. The existed distributed multi-task strategies…

eess.SY2015

Adaptive Convex Combination of APA and ZA-APA algorithms for Sparse System Identification

Vinay Chakravarthi Gogineni

In general, one often encounters the systems that have sparse impulse response, with time varying system sparsity. Conventional adaptive filters which perform well for identificati…