Proportionate-type hard thresholding adaptive filter for sparse system identification. - Vinay Chakravarthi Gogineni; Rajib Lochan Das; Mrityunjoy Chakraborty (APSIPA, 2014)

Adaptive Convex Combination of APA and ZA-APA algorithms for Sparse System Identification. - Vinay Chakravarthi Gogineni (CoRR, 2015)

Diffusion Adaptation Over Clustered Multitask Networks Based on the Affine Projection Algorithm. - Vinay Chakravarthi Gogineni; Mrityunjoy Chakraborty (CoRR, 2015)

Distributed Multi-task APA over Adaptive Networks Based on Partial Diffusion. - Vinay Chakravarthi Gogineni; Mrityunjoy Chakraborty (CoRR, 2015)

Convergence Analysis of Proportionate-type Least Mean Square Algorithms. - Vinay Chakravarthi Gogineni; Subrahmanyam Mula (CoRR, 2015)

Performance analysis of proportionate-type LMS algorithms. - Vinay Chakravarthi Gogineni; Subrahmanyam Mula; Rajib Lochan Das; Mrityunjoy Chakraborty (SPA, 2016)

VLSI Friendly Framework for Scalable Video Coding based on Compressed Sensing. - Kota Naga Srinivasarao Batta; Vinay Chakravarthi Gogineni; Subrahmanyam Mula; Indrajit Chakrabarti (CoRR, 2016)

Proportionate Adaptive Filtering under Correntropy Criterion in Impulsive Noise Environments. - Vinay Chakravarthi Gogineni; Subrahmanyam Mula (CoRR, 2017)

Algorithm/Architecture Co-design of Proportionate-type LMS Adaptive Filters for Sparse System Identification. - Subrahmanyam Mula; Vinay Chakravarthi Gogineni; Anindya Sundar Dhar (CoRR, 2017)

Constrained Least Mean Logarithmic Square Algorithm: Design and Performance Analysis. - Vinay Chakravarthi Gogineni; Subrahmanyam Mula (CoRR, 2017)

A novel framework for compressed sensing based scalable video coding. - Kota Naga Srinivasarao Batta; Vinay Chakravarthi Gogineni; Subrahmanyam Mula; Indrajit Chakrabarti (Signal Process. Image Commun., 2017)

A Convex Combination of NLMS and ZA-NLMS for Identifying Systems With Variable Sparsity. - Bijit K. Das; Vinay Chakravarthi Gogineni; Mrityunjoy Chakraborty (IEEE Trans. Circuits Syst. II Express Briefs, 2017)

Algorithm and Architecture Design of Adaptive Filters With Error Nonlinearities. - Subrahmanyam Mula; Vinay Chakravarthi Gogineni; Anindya Sundar Dhar (IEEE Trans. Very Large Scale Integr. Syst., 2017)

Diffusion Affine Projection Algorithm for Multitask Networks. - Vinay Chakravarthi Gogineni; Mrityunjoy Chakraborty (APSIPA, 2018)

An adaptive convex combination of APA and ZA-APA for identifying systems having variable sparsity and correlated input. - Vinay Chakravarthi Gogineni; Bijit K. Das; Mrityunjoy Chakraborty (Digit. Signal Process., 2018)

Improved proportionate-type sparse adaptive filtering under maximum correntropy criterion in impulsive noise environments. - Vinay Chakravarthi Gogineni; Subrahmanyam Mula (Digit. Signal Process., 2018)

Algorithm and VLSI Architecture Design of Proportionate-Type LMS Adaptive Filters for Sparse System Identification. - Subrahmanyam Mula; Vinay Chakravarthi Gogineni; Anindya Sundar Dhar (IEEE Trans. Very Large Scale Integr. Syst., 2018)

Partial Diffusion Affine Projection Algorithm Over Clustered Multitask Networks. - Vinay Chakravarthi Gogineni; Mrityunjoy Chakraborty (ISCAS, 2019)

Robust Proportionate Adaptive Filter Architectures Under Impulsive Noise. - Subrahmanyam Mula; Vinay Chakravarthi Gogineni; Anindya Sundar Dhar (IEEE Trans. Very Large Scale Integr. Syst., 2019)

Graph Diffusion Kernel LMS using Random Fourier Features. - Vinay Chakravarthi Gogineni; Vitor Rosa Meireles Elias; Wallace A. Martins; Stefan Werner 001 (ACSSC, 2020)

Fractional-Order Correntropy Adaptive Filters for Distributed Processing of $ alpha$-Stable Signals. - Vinay Chakravarthi Gogineni; Sayed Pouria Talebi; Stefan Werner 001; Danilo P. Mandic (IEEE Signal Process. Lett., 2020)

Improving the Performance of Multitask Diffusion APA via Controlled Inter-Cluster Cooperation. - Vinay Chakravarthi Gogineni; Mrityunjoy Chakraborty (IEEE Trans. Circuits Syst. I Regul. Pap., 2020)

Fractional-Order Correntropy Filters for Tracking Dynamic Systems in α-Stable Environments. - Vinay Chakravarthi Gogineni; Sayed Pouria Talebi; Stefan Werner 001; Danilo P. Mandic (IEEE Trans. Circuits Syst., 2020)

Recurrent Time-Varying Multi-Graph Convolutional Neural Network for Personalized Cervical Cancer Risk Prediction. - Vinay Chakravarthi Gogineni; Severin R. E. Langberg; Valeriya Naumova; Jan F. Nygård; Mari Nygård; Markus Grasmair; Stefan Werner 001 (ACSCC, 2021)

Graph Kernel Recursive Least-Squares Algorithms. - Vinay Chakravarthi Gogineni; Valeriya Naumova; Stefan Werner 001; Yih-Fang Huang (APSIPA ASC, 2021)

Kernel Regression on Graphs in Random Fourier Features Space. - Vitor Rosa Meireles Elias; Vinay Chakravarthi Gogineni; Wallace A. Martins; Stefan Werner 001 (ICASSP, 2021)

Data-Driven Personalized Cervical Cancer Risk Prediction: A Graph-Perspective. - Vinay Chakravarthi Gogineni; Severin R. E. Langberg; Valeriya Naumova; Jan F. Nygård; Mari Nygård; Markus Grasmair; Stefan Werner 001 (SSP, 2021)

Performance of Clustered Multitask Diffusion LMS Suffering From Inter-Node Communication Delays. - Vinay Chakravarthi Gogineni; Sayed Pouria Talebi; Stefan Werner 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2021)

Adaptive Graph Filters in Reproducing Kernel Hilbert Spaces: Design and Performance Analysis. - Vitor Rosa Meireles Elias; Vinay Chakravarthi Gogineni; Wallace A. Martins; Stefan Werner 001 (IEEE Trans. Signal Inf. Process. over Networks, 2021)

Clustered Graph Federated Personalized Learning. - François Gauthier 002; Vinay Chakravarthi Gogineni; Stefan Werner 001; Yih-Fang Huang; Anthony Kuh (IEEECONF, 2022)

Decentralized Graph Federated Multitask Learning for Streaming Data. - Vinay Chakravarthi Gogineni; Stefan Werner 001; Yih-Fang Huang; Anthony Kuh (CISS, 2022)

Dynamic Graph Topology Learning with Non-Convex Penalties. - Reza Mirzaeifard; Vinay Chakravarthi Gogineni; Naveen K. D. Venkategowda; Stefan Werner 001 (EUSIPCO, 2022)

ADMM for Sparse-Penalized Quantile Regression with Non-Convex Penalties. - Reza Mirzaeifard; Naveen K. D. Venkategowda; Vinay Chakravarthi Gogineni; Stefan Werner 001 (EUSIPCO, 2022)

Communication-Efficient and Privacy-Aware Distributed LMS Algorithm. - Vinay Chakravarthi Gogineni; Ashkan Moradi; Naveen K. D. Venkategowda; Stefan Werner 001 (FUSION, 2022)

Communication-Efficient Online Federated Learning Framework for Nonlinear Regression. - Vinay Chakravarthi Gogineni; Stefan Werner 001; Yih-Fang Huang; Anthony Kuh (ICASSP, 2022)

Resource-Aware Asynchronous Online Federated Learning for Nonlinear Regression. - François Gauthier 002; Vinay Chakravarthi Gogineni; Stefan Werner 001; Yih-Fang Huang; Anthony Kuh (ICC, 2022)

Personalized Online Federated Learning for IoT/CPS: Challenges and Future Directions. - Vinay Chakravarthi Gogineni; Stefan Werner 001; François Gauthier 002; Yih-Fang Huang; Anthony Kuh (IEEE Internet Things Mag., 2022)

Kernel Regression Over Graphs Using Random Fourier Features. - Vitor Rosa Meireles Elias; Vinay Chakravarthi Gogineni; Wallace A. Martins; Stefan Werner 001 (IEEE Trans. Signal Process., 2022)

Novel VLSI Architecture for Fractional-Order Correntropy Adaptive Filtering Algorithm. - Daney Alex; Vinay Chakravarthi Gogineni; Subrahmanyam Mula; Stefan Werner 001 (IEEE Trans. Very Large Scale Integr. Syst., 2022)

Continual Local Updates for Federated Learning with Enhanced Robustness to Link Noise. - Ehsan Lari; Vinay Chakravarthi Gogineni; Reza Arablouei; Stefan Werner 001 (APSIPA ASC, 2023)

Autoencoder-based Hyperspectral Anomaly Detection using Kernel Principal Component Pre-Processing. - Katinka Müller; Vinay Chakravarthi Gogineni; Milica Orlandic; Stefan Werner 001 (EUSIPCO, 2023)

Networked Personalized Federated Learning Using Reinforcement Learning. - François Gauthier 002; Vinay Chakravarthi Gogineni; Stefan Werner 001 (ICC, 2023)

Resource-Efficient Federated Learning Robust to Communication Errors. - Ehsan Lari; Vinay Chakravarthi Gogineni; Reza Arablouei; Stefan Werner 001 (SSP, 2023)

Distributed Quantile Regression with Non-Convex Sparse Penalties. - Reza Mirzaeifard; Vinay Chakravarthi Gogineni; Naveen K. D. Venkategowda; Stefan Werner 001 (SSP, 2023)

Smoothing ADMM for Sparse-Penalized Quantile Regression with Non-Convex Penalties. - Reza Mirzaeifard; Naveen K. D. Venkategowda; Vinay Chakravarthi Gogineni; Stefan Werner 001 (CoRR, 2023)

Asynchronous Online Federated Learning With Reduced Communication Requirements. - François Gauthier 002; Vinay Chakravarthi Gogineni; Stefan Werner 001; Yih-Fang Huang; Anthony Kuh (IEEE Internet Things J., 2023)

Personalized Graph Federated Learning With Differential Privacy. - François Gauthier 002; Vinay Chakravarthi Gogineni; Stefan Werner 001; Yih-Fang Huang; Anthony Kuh (IEEE Trans. Signal Inf. Process. over Networks, 2023)

Communication-Efficient and Privacy-Aware Distributed Learning. - Vinay Chakravarthi Gogineni; Ashkan Moradi; Naveen K. D. Venkategowda; Stefan Werner 001 (IEEE Trans. Signal Inf. Process. over Networks, 2023)

Algorithm and Architecture Design of Random Fourier Features-Based Kernel Adaptive Filters. - Vinay Chakravarthi Gogineni; Ramesh Sambangi; Daney Alex; Subrahmanyam Mula; Stefan Werner 001 (IEEE Trans. Circuits Syst. I Regul. Pap., 2023)

Communication-Efficient Online Federated Learning Strategies for Kernel Regression. - Vinay Chakravarthi Gogineni; Stefan Werner 001; Yih-Fang Huang; Anthony Kuh (IEEE Internet Things J., 2023)

On The Resilience Of Online Federated Learning To Model Poisoning Attacks Through Partial Sharing. - Ehsan Lari; Vinay Chakravarthi Gogineni; Reza Arablouei; Stefan Werner 001 (ICASSP, 2024)

Efficient Knowledge Deletion from Trained Models through Layer-wise Partial Machine Unlearning. - Vinay Chakravarthi Gogineni; Esmaeil S. Nadimi (CoRR, 2024)

Analyzing the Impact of Partial Sharing on the Resilience of Online Federated Learning Against Model Poisoning Attacks. - Ehsan Lari; Vinay Chakravarthi Gogineni; Reza Arablouei; Stefan Werner 001 (CoRR, 2024)

Noise-Robust and Resource-Efficient ADMM-based Federated Learning. - Ehsan Lari; Reza Arablouei; Vinay Chakravarthi Gogineni; Stefan Werner 001 (CoRR, 2024)

Lightweight Autonomous Autoencoders for Timely Hyperspectral Anomaly Detection. - Vinay Chakravarthi Gogineni; Katinka Müller; Milica Orlandic; Stefan Werner 001 (IEEE Geosci. Remote. Sens. Lett., 2024)

Performance Analysis of Hammerstein Block-Oriented Functional Link Adaptive Filters. - Pavan Kumar Ganjimala; Vinay Chakravarthi Gogineni; Subrahmanyam Mula (IEEE Signal Process. Lett., 2024)

Congestion-Aware Vertical Link Placement and Application Mapping Onto 3-D Network-on-Chip Architectures. - Ramesh Sambangi; Kanchan Manna; Vinay Chakravarthi Gogineni; Santanu Chattopadhyay; Sudipta Mahapatra (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

Networked Federated Meta-Learning Over Extending Graphs. - Muhammad Asaad Cheema; Vinay Chakravarthi Gogineni; Pierluigi Salvo Rossi; Stefan Werner 001 (IEEE Internet Things J., 2024)

Region-specific reliable channel estimation in RIS-enabled wireless communications via clustered federated learning. - Muhammad Asaad Cheema; Apoorva Chawla; Vinay Chakravarthi Gogineni; Pierluigi Salvo Rossi (Phys. Commun., 2025)

Resilience in Online Federated Learning: Mitigating Model-Poisoning Attacks via Partial Sharing. - Ehsan Lari; Reza Arablouei; Vinay Chakravarthi Gogineni; Stefan Werner 001 (IEEE Trans. Signal Inf. Process. over Networks, 2025)

Channel Estimation in RIS-Aided Heterogeneous Wireless Networks via Federated Learning. - Muhammad Asaad Cheema; Apoorva Chawla; Vinay Chakravarthi Gogineni; Pierluigi Salvo Rossi (IEEE Commun. Lett., 2025)