Vinay Chakravarthi Gogineni

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 54

Top Topics

Cervical Cancer

Kernel Regression

Adaptive Filter

Top Venues

IEEE Trans. Very Large Scale Integr. Syst.

Publications

Ehsan Lari, Vinay Chakravarthi Gogineni, Reza Arablouei, Stefan Werner
On The Resilience Of Online Federated Learning To Model Poisoning Attacks Through Partial Sharing. ICASSP (2024)
Vinay Chakravarthi Gogineni, Katinka Müller, Milica Orlandic, Stefan Werner
Lightweight Autonomous Autoencoders for Timely Hyperspectral Anomaly Detection. IEEE Geosci. Remote. Sens. Lett. 21 (2024)
Ehsan Lari, Vinay Chakravarthi Gogineni, Reza Arablouei, Stefan Werner
Analyzing the Impact of Partial Sharing on the Resilience of Online Federated Learning Against Model Poisoning Attacks. CoRR (2024)
Vinay Chakravarthi Gogineni, Esmaeil S. Nadimi
Efficient Knowledge Deletion from Trained Models through Layer-wise Partial Machine Unlearning. CoRR (2024)
Ramesh Sambangi, Kanchan Manna, Vinay Chakravarthi Gogineni, Santanu Chattopadhyay, Sudipta Mahapatra
Congestion-Aware Vertical Link Placement and Application Mapping Onto 3-D Network-on-Chip Architectures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43 (8) (2024)
François Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner
Networked Personalized Federated Learning Using Reinforcement Learning. ICC (2023)
François Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh
Asynchronous Online Federated Learning with Reduced Communication Requirements. CoRR (2023)
François Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh
Personalized Graph Federated Learning with Differential Privacy. CoRR (2023)
Ehsan Lari, Vinay Chakravarthi Gogineni, Reza Arablouei, Stefan Werner
Resource-Efficient Federated Learning Robust to Communication Errors. SSP (2023)
Reza Mirzaeifard, Naveen K. D. Venkategowda, Vinay Chakravarthi Gogineni, Stefan Werner
Smoothing ADMM for Sparse-Penalized Quantile Regression with Non-Convex Penalties. CoRR (2023)
François Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh
Asynchronous Online Federated Learning With Reduced Communication Requirements. IEEE Internet Things J. 10 (23) (2023)
Reza Mirzaeifard, Vinay Chakravarthi Gogineni, Naveen K. D. Venkategowda, Stefan Werner
Distributed Quantile Regression with Non-Convex Sparse Penalties. SSP (2023)
Vinay Chakravarthi Gogineni, Ramesh Sambangi, Daney Alex, Subrahmanyam Mula, Stefan Werner
Algorithm and Architecture Design of Random Fourier Features-Based Kernel Adaptive Filters. IEEE Trans. Circuits Syst. I Regul. Pap. 70 (2) (2023)
Katinka Müller, Vinay Chakravarthi Gogineni, Milica Orlandic, Stefan Werner
Autoencoder-based Hyperspectral Anomaly Detection using Kernel Principal Component Pre-Processing. EUSIPCO (2023)
Vinay Chakravarthi Gogineni, Ashkan Moradi, Naveen K. D. Venkategowda, Stefan Werner
Communication-Efficient and Privacy-Aware Distributed Learning. IEEE Trans. Signal Inf. Process. over Networks 9 (2023)
Ehsan Lari, Vinay Chakravarthi Gogineni, Reza Arablouei, Stefan Werner
Continual Local Updates for Federated Learning with Enhanced Robustness to Link Noise. APSIPA ASC (2023)
François Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh
Personalized Graph Federated Learning With Differential Privacy. IEEE Trans. Signal Inf. Process. over Networks 9 (2023)
Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh
Communication-Efficient Online Federated Learning Strategies for Kernel Regression. IEEE Internet Things J. 10 (5) (2023)
Reza Mirzaeifard, Naveen K. D. Venkategowda, Vinay Chakravarthi Gogineni, Stefan Werner
ADMM for Sparse-Penalized Quantile Regression with Non-Convex Penalties. EUSIPCO (2022)
François Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh
Resource-Aware Asynchronous Online Federated Learning for Nonlinear Regression. ICC (2022)
Vitor Rosa Meireles Elias, Vinay Chakravarthi Gogineni, Wallace A. Martins, Stefan Werner
Kernel Regression Over Graphs Using Random Fourier Features. IEEE Trans. Signal Process. 70 (2022)
Vinay Chakravarthi Gogineni, Ashkan Moradi, Naveen K. D. Venkategowda, Stefan Werner
Communication-Efficient and Privacy-Aware Distributed LMS Algorithm. FUSION (2022)
Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh
Decentralized Graph Federated Multitask Learning for Streaming Data. CISS (2022)
Vinay Chakravarthi Gogineni, Stefan Werner, François Gauthier, Yih-Fang Huang, Anthony Kuh
Personalized Online Federated Learning for IoT/CPS: Challenges and Future Directions. IEEE Internet Things Mag. 5 (4) (2022)
François Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh
Clustered Graph Federated Personalized Learning. IEEECONF (2022)
Reza Mirzaeifard, Vinay Chakravarthi Gogineni, Naveen K. D. Venkategowda, Stefan Werner
Dynamic Graph Topology Learning with Non-Convex Penalties. EUSIPCO (2022)
Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh
Communication-Efficient Online Federated Learning Framework for Nonlinear Regression. ICASSP (2022)
Daney Alex, Vinay Chakravarthi Gogineni, Subrahmanyam Mula, Stefan Werner
Novel VLSI Architecture for Fractional-Order Correntropy Adaptive Filtering Algorithm. IEEE Trans. Very Large Scale Integr. Syst. 30 (7) (2022)
Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh
Communication-Efficient Online Federated Learning Framework for Nonlinear Regression. CoRR (2021)
Vinay Chakravarthi Gogineni, Severin R. E. Langberg, Valeriya Naumova, Jan F. Nygård, Mari Nygård, Markus Grasmair, Stefan Werner
Data-Driven Personalized Cervical Cancer Risk Prediction: A Graph-Perspective. SSP (2021)
Vinay Chakravarthi Gogineni, Valeriya Naumova, Stefan Werner, Yih-Fang Huang
Graph Kernel Recursive Least-Squares Algorithms. APSIPA ASC (2021)
Vinay Chakravarthi Gogineni, Severin R. E. Langberg, Valeriya Naumova, Jan F. Nygård, Mari Nygård, Markus Grasmair, Stefan Werner
Recurrent Time-Varying Multi-Graph Convolutional Neural Network for Personalized Cervical Cancer Risk Prediction. ACSCC (2021)
Vinay Chakravarthi Gogineni, Sayed Pouria Talebi, Stefan Werner
Performance of Clustered Multitask Diffusion LMS Suffering From Inter-Node Communication Delays. IEEE Trans. Circuits Syst. II Express Briefs 68 (7) (2021)
Vitor R. M. Elias, Vinay Chakravarthi Gogineni, Wallace A. Martins, Stefan Werner
Adaptive Graph Filters in Reproducing Kernel Hilbert Spaces: Design and Performance Analysis. IEEE Trans. Signal Inf. Process. over Networks 7 (2021)
Vitor R. M. Elias, Vinay Chakravarthi Gogineni, Wallace A. Martins, Stefan Werner
Kernel Regression on Graphs in Random Fourier Features Space. ICASSP (2021)
François Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh
Resource-Aware Asynchronous Online Federated Learning for Nonlinear Regression. CoRR (2021)
Vinay Chakravarthi Gogineni, Sayed Pouria Talebi, Stefan Werner, Danilo P. Mandic
Fractional-Order Correntropy Adaptive Filters for Distributed Processing of $\alpha$-Stable Signals. IEEE Signal Process. Lett. 27 (2020)
Vinay Chakravarthi Gogineni, Vitor R. M. Elias, Wallace A. Martins, Stefan Werner
Graph Diffusion Kernel LMS using Random Fourier Features. ACSSC (2020)
Vinay Chakravarthi Gogineni, Sayed Pouria Talebi, Stefan Werner, Danilo P. Mandic
Fractional-Order Correntropy Filters for Tracking Dynamic Systems in α-Stable Environments. IEEE Trans. Circuits Syst. (12) (2020)
Vinay Chakravarthi Gogineni, Mrityunjoy Chakraborty
Improving the Performance of Multitask Diffusion APA via Controlled Inter-Cluster Cooperation. IEEE Trans. Circuits Syst. I Regul. Pap. (3) (2020)
Subrahmanyam Mula, Vinay Chakravarthi Gogineni, Anindya Sundar Dhar
Robust Proportionate Adaptive Filter Architectures Under Impulsive Noise. IEEE Trans. Very Large Scale Integr. Syst. 27 (5) (2019)
Vinay Chakravarthi Gogineni, Mrityunjoy Chakraborty
Partial Diffusion Affine Projection Algorithm Over Clustered Multitask Networks. ISCAS (2019)
Vinay Chakravarthi Gogineni, Mrityunjoy Chakraborty
Diffusion Affine Projection Algorithm for Multitask Networks. APSIPA (2018)
Vinay Chakravarthi Gogineni, Bijit K. Das, Mrityunjoy Chakraborty
An adaptive convex combination of APA and ZA-APA for identifying systems having variable sparsity and correlated input. Digit. Signal Process. 82 (2018)
Vinay Chakravarthi Gogineni, Subrahmanyam Mula
Improved proportionate-type sparse adaptive filtering under maximum correntropy criterion in impulsive noise environments. Digit. Signal Process. 79 (2018)
Subrahmanyam Mula, Vinay Chakravarthi Gogineni, Anindya Sundar Dhar
Algorithm and VLSI Architecture Design of Proportionate-Type LMS Adaptive Filters for Sparse System Identification. IEEE Trans. Very Large Scale Integr. Syst. 26 (9) (2018)
Subrahmanyam Mula, Vinay Chakravarthi Gogineni, Anindya Sundar Dhar
Algorithm and Architecture Design of Adaptive Filters With Error Nonlinearities. IEEE Trans. Very Large Scale Integr. Syst. 25 (9) (2017)
Bijit K. Das, Vinay Chakravarthi Gogineni, Mrityunjoy Chakraborty
A Convex Combination of NLMS and ZA-NLMS for Identifying Systems With Variable Sparsity. IEEE Trans. Circuits Syst. II Express Briefs (9) (2017)
Vinay Chakravarthi Gogineni, Subrahmanyam Mula
Proportionate Adaptive Filtering under Correntropy Criterion in Impulsive Noise Environments. CoRR (2017)
Vinay Chakravarthi Gogineni, Subrahmanyam Mula
Constrained Least Mean Logarithmic Square Algorithm: Design and Performance Analysis. CoRR (2017)
Subrahmanyam Mula, Vinay Chakravarthi Gogineni, Anindya Sundar Dhar
Algorithm/Architecture Co-design of Proportionate-type LMS Adaptive Filters for Sparse System Identification. CoRR (2017)
Kota Naga Srinivasarao Batta, Vinay Chakravarthi Gogineni, Subrahmanyam Mula, Indrajit Chakrabarti
A novel framework for compressed sensing based scalable video coding. Signal Process. Image Commun. 57 (2017)
Vinay Chakravarthi Gogineni, Subrahmanyam Mula, Rajib Lochan Das, Mrityunjoy Chakraborty
Performance analysis of proportionate-type LMS algorithms. SPA (2016)
Kota Naga Srinivasarao Batta, Vinay Chakravarthi Gogineni, Subrahmanyam Mula, Indrajit Chakrabarti
VLSI Friendly Framework for Scalable Video Coding based on Compressed Sensing. CoRR (2016)
Vinay Chakravarthi Gogineni, Mrityunjoy Chakraborty
Distributed Multi-task APA over Adaptive Networks Based on Partial Diffusion. CoRR (2015)
Vinay Chakravarthi Gogineni, Mrityunjoy Chakraborty
Diffusion Adaptation Over Clustered Multitask Networks Based on the Affine Projection Algorithm. CoRR (2015)
Vinay Chakravarthi Gogineni
Adaptive Convex Combination of APA and ZA-APA algorithms for Sparse System Identification. CoRR (2015)
Vinay Chakravarthi Gogineni, Subrahmanyam Mula
Convergence Analysis of Proportionate-type Least Mean Square Algorithms. CoRR (2015)
Vinay Chakravarthi Gogineni, Rajib Lochan Das, Mrityunjoy Chakraborty
Proportionate-type hard thresholding adaptive filter for sparse system identification. APSIPA (2014)