Vinay Chakravarthi Gogineni | DeepAI

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∙ 09/04/2023

Smoothing ADMM for Sparse-Penalized Quantile Regression with Non-Convex Penalties

This paper investigates quantile regression in the presence of non-conve...

0 Reza Mirzaeifard, et al. ∙

∙ 06/10/2023

Personalized Graph Federated Learning with Differential Privacy

This paper presents a personalized graph federated learning (PGFL) frame...

0 Francois Gauthier, et al. ∙

∙ 03/27/2023

Asynchronous Online Federated Learning with Reduced Communication Requirements

Online federated learning (FL) enables geographically distributed device...

0 Francois Gauthier, et al. ∙

∙ 11/27/2021

Resource-Aware Asynchronous Online Federated Learning for Nonlinear Regression

Many assumptions in the federated learning literature present a best-cas...

0 Francois Gauthier, et al. ∙

∙ 10/13/2021

Communication-Efficient Online Federated Learning Framework for Nonlinear Regression

Federated learning (FL) literature typically assumes that each client ha...

0 Vinay Chakravarthi Gogineni, et al. ∙

∙ 03/17/2017

Algorithm/Architecture Co-design of Proportionate-type LMS Adaptive Filters for Sparse System Identification

This paper investigates the problem of implementing proportionate-type L...

0 Subrahmanyam Mula, et al. ∙

∙ 07/29/2015

Diffusion Adaptation Over Clustered Multitask Networks Based on the Affine Projection Algorithm

Distributed adaptive networks achieve better estimation performance by e...

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