Vinay Chakravarthi Gogineni

68 papers C 2Misc 5Journal 46Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Noise-robust and resource-efficient ADMM-based federated learning for WLS regression. Signal Process. Ehsan Lari, Reza Arablouei, Vinay Chakravarthi Gogineni, Stefan Werner
2025	J	`jnl`	Channel Estimation in RIS-Aided Heterogeneous Wireless Networks via Federated Learning. IEEE Commun. Lett. Muhammad Asaad Cheema, Apoorva Chawla, Vinay Chakravarthi Gogineni, Pierluigi Salvo Rossi
2025	J	`jnl`	Efficient Knowledge Deletion from Trained Models Through Layer-wise Partial Machine Unlearning. J. Mach. Learn. Res. Vinay Chakravarthi Gogineni, Esmaeil S. Nadimi
2025	J	`jnl`	Enhancing polyp characterization in colon capsule endoscopy using ResNet9-KAN. Knowl. Based Syst. Vinay Chakravarthi Gogineni, Jan-Matthias Braun, Benedicte Schelde-Olesen, Gunnar Baatrup, Esmaeil S. Nadimi
2025	J	`jnl`	Region-specific reliable channel estimation in RIS-enabled wireless communications via clustered federated learning. Phys. Commun. Muhammad Asaad Cheema, Apoorva Chawla, Vinay Chakravarthi Gogineni, Pierluigi Salvo Rossi
2025	J	`jnl`	Resilience in Online Federated Learning: Mitigating Model-Poisoning Attacks via Partial Sharing. IEEE Trans. Signal Inf. Process. over Networks Ehsan Lari, Reza Arablouei, Vinay Chakravarthi Gogineni, Stefan Werner
2024	J	`jnl`	Analyzing the Impact of Partial Sharing on the Resilience of Online Federated Learning Against Model Poisoning Attacks. CoRR Ehsan Lari, Vinay Chakravarthi Gogineni, Reza Arablouei, Stefan Werner
2024	J	`jnl`	Congestion-Aware Vertical Link Placement and Application Mapping Onto 3-D Network-on-Chip Architectures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Ramesh Sambangi, Kanchan Manna, Vinay Chakravarthi Gogineni, Santanu Chattopadhyay, Sudipta Mahapatra
2024	J	`jnl`	Efficient Knowledge Deletion from Trained Models through Layer-wise Partial Machine Unlearning. CoRR Vinay Chakravarthi Gogineni, Esmaeil S. Nadimi
2024	J	`jnl`	Lightweight Autonomous Autoencoders for Timely Hyperspectral Anomaly Detection. IEEE Geosci. Remote. Sens. Lett. Vinay Chakravarthi Gogineni, Katinka Müller, Milica Orlandic, Stefan Werner
2024	J	`jnl`	Networked Federated Meta-Learning Over Extending Graphs. IEEE Internet Things J. Muhammad Asaad Cheema, Vinay Chakravarthi Gogineni, Pierluigi Salvo Rossi, Stefan Werner
2024	J	`jnl`	Noise-Robust and Resource-Efficient ADMM-based Federated Learning. CoRR Ehsan Lari, Reza Arablouei, Vinay Chakravarthi Gogineni, Stefan Werner
2024	Misc	`conf`	On The Resilience Of Online Federated Learning To Model Poisoning Attacks Through Partial Sharing. ICASSP Ehsan Lari, Vinay Chakravarthi Gogineni, Reza Arablouei, Stefan Werner
2024	J	`jnl`	Performance Analysis of Hammerstein Block-Oriented Functional Link Adaptive Filters. IEEE Signal Process. Lett. Pavan Kumar Ganjimala, Vinay Chakravarthi Gogineni, Subrahmanyam Mula
2023	J	`jnl`	Algorithm and Architecture Design of Random Fourier Features-Based Kernel Adaptive Filters. IEEE Trans. Circuits Syst. I Regul. Pap. Vinay Chakravarthi Gogineni, Ramesh Sambangi, Daney Alex, Subrahmanyam Mula, Stefan Werner
2023	J	`jnl`	Asynchronous Online Federated Learning With Reduced Communication Requirements. IEEE Internet Things J. François Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh
2023	J	`jnl`	Asynchronous Online Federated Learning with Reduced Communication Requirements. CoRR François Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh
2023	—	`conf`	Autoencoder-based Hyperspectral Anomaly Detection using Kernel Principal Component Pre-Processing. EUSIPCO Katinka Müller, Vinay Chakravarthi Gogineni, Milica Orlandic, Stefan Werner
2023	J	`jnl`	Communication-Efficient Online Federated Learning Strategies for Kernel Regression. IEEE Internet Things J. Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh
2023	J	`jnl`	Communication-Efficient and Privacy-Aware Distributed Learning. IEEE Trans. Signal Inf. Process. over Networks Vinay Chakravarthi Gogineni, Ashkan Moradi, Naveen K. D. Venkategowda, Stefan Werner
2023	—	`conf`	Continual Local Updates for Federated Learning with Enhanced Robustness to Link Noise. APSIPA ASC Ehsan Lari, Vinay Chakravarthi Gogineni, Reza Arablouei, Stefan Werner
2023	—	`conf`	Distributed Quantile Regression with Non-Convex Sparse Penalties. SSP Reza Mirzaeifard, Vinay Chakravarthi Gogineni, Naveen K. D. Venkategowda, Stefan Werner
2023	—	`conf`	Networked Personalized Federated Learning Using Reinforcement Learning. ICC François Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner
2023	J	`jnl`	Personalized Graph Federated Learning With Differential Privacy. IEEE Trans. Signal Inf. Process. over Networks François Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh
2023	J	`jnl`	Personalized Graph Federated Learning with Differential Privacy. CoRR François Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh
2023	—	`conf`	Resource-Efficient Federated Learning Robust to Communication Errors. SSP Ehsan Lari, Vinay Chakravarthi Gogineni, Reza Arablouei, Stefan Werner
2023	J	`jnl`	Smoothing ADMM for Sparse-Penalized Quantile Regression with Non-Convex Penalties. CoRR Reza Mirzaeifard, Naveen K. D. Venkategowda, Vinay Chakravarthi Gogineni, Stefan Werner
2022	—	`conf`	ADMM for Sparse-Penalized Quantile Regression with Non-Convex Penalties. EUSIPCO Reza Mirzaeifard, Naveen K. D. Venkategowda, Vinay Chakravarthi Gogineni, Stefan Werner
2022	—	`conf`	Clustered Graph Federated Personalized Learning. IEEECONF François Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh
2022	Misc	`conf`	Communication-Efficient Online Federated Learning Framework for Nonlinear Regression. ICASSP Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh
2022	C	`conf`	Communication-Efficient and Privacy-Aware Distributed LMS Algorithm. FUSION Vinay Chakravarthi Gogineni, Ashkan Moradi, Naveen K. D. Venkategowda, Stefan Werner
2022	Misc	`conf`	Decentralized Graph Federated Multitask Learning for Streaming Data. CISS Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh
2022	—	`conf`	Dynamic Graph Topology Learning with Non-Convex Penalties. EUSIPCO Reza Mirzaeifard, Vinay Chakravarthi Gogineni, Naveen K. D. Venkategowda, Stefan Werner
2022	J	`jnl`	Kernel Regression Over Graphs Using Random Fourier Features. IEEE Trans. Signal Process. Vitor Rosa Meireles Elias, Vinay Chakravarthi Gogineni, Wallace A. Martins, Stefan Werner
2022	J	`jnl`	Novel VLSI Architecture for Fractional-Order Correntropy Adaptive Filtering Algorithm. IEEE Trans. Very Large Scale Integr. Syst. Daney Alex, Vinay Chakravarthi Gogineni, Subrahmanyam Mula, Stefan Werner
2022	J	`jnl`	Personalized Online Federated Learning for IoT/CPS: Challenges and Future Directions. IEEE Internet Things Mag. Vinay Chakravarthi Gogineni, Stefan Werner, François Gauthier, Yih-Fang Huang, Anthony Kuh
2022	—	`conf`	Resource-Aware Asynchronous Online Federated Learning for Nonlinear Regression. ICC François Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh
2021	J	`jnl`	Adaptive Graph Filters in Reproducing Kernel Hilbert Spaces: Design and Performance Analysis. IEEE Trans. Signal Inf. Process. over Networks Vitor Rosa Meireles Elias, Vinay Chakravarthi Gogineni, Wallace A. Martins, Stefan Werner
2021	J	`jnl`	Communication-Efficient Online Federated Learning Framework for Nonlinear Regression. CoRR Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh
2021	—	`conf`	Data-Driven Personalized Cervical Cancer Risk Prediction: A Graph-Perspective. SSP Vinay Chakravarthi Gogineni, Severin R. E. Langberg, Valeriya Naumova, Jan F. Nygård, Mari Nygård, Markus Grasmair, Stefan Werner
2021	—	`conf`	Graph Kernel Recursive Least-Squares Algorithms. APSIPA ASC Vinay Chakravarthi Gogineni, Valeriya Naumova, Stefan Werner, Yih-Fang Huang
2021	Misc	`conf`	Kernel Regression on Graphs in Random Fourier Features Space. ICASSP Vitor Rosa Meireles Elias, Vinay Chakravarthi Gogineni, Wallace A. Martins, Stefan Werner
2021	J	`jnl`	Performance of Clustered Multitask Diffusion LMS Suffering From Inter-Node Communication Delays. IEEE Trans. Circuits Syst. II Express Briefs Vinay Chakravarthi Gogineni, Sayed Pouria Talebi, Stefan Werner
2021	—	`conf`	Recurrent Time-Varying Multi-Graph Convolutional Neural Network for Personalized Cervical Cancer Risk Prediction. ACSCC Vinay Chakravarthi Gogineni, Severin R. E. Langberg, Valeriya Naumova, Jan F. Nygård, Mari Nygård, Markus Grasmair, Stefan Werner
2021	J	`jnl`	Resource-Aware Asynchronous Online Federated Learning for Nonlinear Regression. CoRR François Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh
2020	J	`jnl`	Fractional-Order Correntropy Adaptive Filters for Distributed Processing of $\alpha$-Stable Signals. IEEE Signal Process. Lett. Vinay Chakravarthi Gogineni, Sayed Pouria Talebi, Stefan Werner, Danilo P. Mandic
2020	J	`jnl`	Fractional-Order Correntropy Filters for Tracking Dynamic Systems in α-Stable Environments. IEEE Trans. Circuits Syst. Vinay Chakravarthi Gogineni, Sayed Pouria Talebi, Stefan Werner, Danilo P. Mandic
2020	Misc	`conf`	Graph Diffusion Kernel LMS using Random Fourier Features. ACSSC Vinay Chakravarthi Gogineni, Vitor Rosa Meireles Elias, Wallace A. Martins, Stefan Werner
2020	J	`jnl`	Improving the Performance of Multitask Diffusion APA via Controlled Inter-Cluster Cooperation. IEEE Trans. Circuits Syst. I Regul. Pap. Vinay Chakravarthi Gogineni, Mrityunjoy Chakraborty
2019	C	`conf`	Partial Diffusion Affine Projection Algorithm Over Clustered Multitask Networks. ISCAS Vinay Chakravarthi Gogineni, Mrityunjoy Chakraborty
2019	J	`jnl`	Robust Proportionate Adaptive Filter Architectures Under Impulsive Noise. IEEE Trans. Very Large Scale Integr. Syst. Subrahmanyam Mula, Vinay Chakravarthi Gogineni, Anindya Sundar Dhar
2018	J	`jnl`	Algorithm and VLSI Architecture Design of Proportionate-Type LMS Adaptive Filters for Sparse System Identification. IEEE Trans. Very Large Scale Integr. Syst. Subrahmanyam Mula, Vinay Chakravarthi Gogineni, Anindya Sundar Dhar
2018	J	`jnl`	An adaptive convex combination of APA and ZA-APA for identifying systems having variable sparsity and correlated input. Digit. Signal Process. Vinay Chakravarthi Gogineni, Bijit K. Das, Mrityunjoy Chakraborty
2018	—	`conf`	Diffusion Affine Projection Algorithm for Multitask Networks. APSIPA Vinay Chakravarthi Gogineni, Mrityunjoy Chakraborty
2018	J	`jnl`	Improved proportionate-type sparse adaptive filtering under maximum correntropy criterion in impulsive noise environments. Digit. Signal Process. Vinay Chakravarthi Gogineni, Subrahmanyam Mula
2017	J	`jnl`	A Convex Combination of NLMS and ZA-NLMS for Identifying Systems With Variable Sparsity. IEEE Trans. Circuits Syst. II Express Briefs Bijit K. Das, Vinay Chakravarthi Gogineni, Mrityunjoy Chakraborty
2017	J	`jnl`	A novel framework for compressed sensing based scalable video coding. Signal Process. Image Commun. Kota Naga Srinivasarao Batta, Vinay Chakravarthi Gogineni, Subrahmanyam Mula, Indrajit Chakrabarti
2017	J	`jnl`	Algorithm and Architecture Design of Adaptive Filters With Error Nonlinearities. IEEE Trans. Very Large Scale Integr. Syst. Subrahmanyam Mula, Vinay Chakravarthi Gogineni, Anindya Sundar Dhar
2017	J	`jnl`	Algorithm/Architecture Co-design of Proportionate-type LMS Adaptive Filters for Sparse System Identification. CoRR Subrahmanyam Mula, Vinay Chakravarthi Gogineni, Anindya Sundar Dhar
2017	J	`jnl`	Constrained Least Mean Logarithmic Square Algorithm: Design and Performance Analysis. CoRR Vinay Chakravarthi Gogineni, Subrahmanyam Mula
2017	J	`jnl`	Proportionate Adaptive Filtering under Correntropy Criterion in Impulsive Noise Environments. CoRR Vinay Chakravarthi Gogineni, Subrahmanyam Mula
2016	—	`conf`	Performance analysis of proportionate-type LMS algorithms. SPA Vinay Chakravarthi Gogineni, Subrahmanyam Mula, Rajib Lochan Das, Mrityunjoy Chakraborty
2016	J	`jnl`	VLSI Friendly Framework for Scalable Video Coding based on Compressed Sensing. CoRR Kota Naga Srinivasarao Batta, Vinay Chakravarthi Gogineni, Subrahmanyam Mula, Indrajit Chakrabarti
2015	J	`jnl`	Adaptive Convex Combination of APA and ZA-APA algorithms for Sparse System Identification. CoRR Vinay Chakravarthi Gogineni
2015	J	`jnl`	Convergence Analysis of Proportionate-type Least Mean Square Algorithms. CoRR Vinay Chakravarthi Gogineni, Subrahmanyam Mula
2015	J	`jnl`	Diffusion Adaptation Over Clustered Multitask Networks Based on the Affine Projection Algorithm. CoRR Vinay Chakravarthi Gogineni, Mrityunjoy Chakraborty
2015	J	`jnl`	Distributed Multi-task APA over Adaptive Networks Based on Partial Diffusion. CoRR Vinay Chakravarthi Gogineni, Mrityunjoy Chakraborty
2014	—	`conf`	Proportionate-type hard thresholding adaptive filter for sparse system identification. APSIPA Vinay Chakravarthi Gogineni, Rajib Lochan Das, Mrityunjoy Chakraborty