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ORCIDVinay Chakravarthi Gogineni
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2020 – today
- 2024
[j23]Vinay Chakravarthi Gogineni
, Katinka Müller, Milica Orlandic, Stefan Werner:
Lightweight Autonomous Autoencoders for Timely Hyperspectral Anomaly Detection. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024)- [j22]Pavankumar Ganjimala, Vinay Chakravarthi Gogineni, Subrahmanyam Mula:
Performance Analysis of Hammerstein Block-Oriented Functional Link Adaptive Filters. IEEE Signal Process. Lett. 31: 2325-2329 (2024) - [j21]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): 2249-2262 (2024) - [c22]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: 9201-9205 - [i16]Vinay Chakravarthi Gogineni, Esmaeil S. Nadimi:
Efficient Knowledge Deletion from Trained Models through Layer-wise Partial Machine Unlearning. CoRR abs/2403.07611 (2024) - [i15]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 abs/2403.13108 (2024) - [i14]Ehsan Lari, Reza Arablouei, Vinay Chakravarthi Gogineni, Stefan Werner:
Noise-Robust and Resource-Efficient ADMM-based Federated Learning. CoRR abs/2409.13451 (2024) - 2023
- [j20]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): 4531-4544 (2023) - [j19]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): 20761-20775 (2023) - [j18]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): 833-845 (2023) - [j17]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: 705-720 (2023) - [j16]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: 736-749 (2023) - [c21]Ehsan Lari, Vinay Chakravarthi Gogineni, Reza Arablouei, Stefan Werner:
Continual Local Updates for Federated Learning with Enhanced Robustness to Link Noise. APSIPA ASC 2023: 1199-1203 - [c20]Katinka Müller, Vinay Chakravarthi Gogineni, Milica Orlandic, Stefan Werner:
Autoencoder-based Hyperspectral Anomaly Detection using Kernel Principal Component Pre-Processing. EUSIPCO 2023: 566-570 - [c19]François Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner:
Networked Personalized Federated Learning Using Reinforcement Learning. ICC 2023: 4397-4402 - [c18]Reza Mirzaeifard, Vinay Chakravarthi Gogineni, Naveen K. D. Venkategowda, Stefan Werner:
Distributed Quantile Regression with Non-Convex Sparse Penalties. SSP 2023: 250-254 - [c17]Ehsan Lari, Vinay Chakravarthi Gogineni, Reza Arablouei, Stefan Werner:
Resource-Efficient Federated Learning Robust to Communication Errors. SSP 2023: 265-269 - [i13]François Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh:
Asynchronous Online Federated Learning with Reduced Communication Requirements. CoRR abs/2303.15226 (2023) - [i12]François Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh:
Personalized Graph Federated Learning with Differential Privacy. CoRR abs/2306.06399 (2023) - [i11]Reza Mirzaeifard, Naveen K. D. Venkategowda, Vinay Chakravarthi Gogineni, Stefan Werner:
Smoothing ADMM for Sparse-Penalized Quantile Regression with Non-Convex Penalties. CoRR abs/2309.03094 (2023) - 2022
- [j15]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): 78-84 (2022) - [j14]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: 936-949 (2022) - [j13]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): 893-904 (2022) - [c16]François Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh:
Clustered Graph Federated Personalized Learning. IEEECONF 2022: 744-748 - [c15]Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh:
Decentralized Graph Federated Multitask Learning for Streaming Data. CISS 2022: 101-106 - [c14]Reza Mirzaeifard, Vinay Chakravarthi Gogineni, Naveen K. D. Venkategowda, Stefan Werner:
Dynamic Graph Topology Learning with Non-Convex Penalties. EUSIPCO 2022: 682-686 - [c13]Reza Mirzaeifard, Naveen K. D. Venkategowda, Vinay Chakravarthi Gogineni, Stefan Werner:
ADMM for Sparse-Penalized Quantile Regression with Non-Convex Penalties. EUSIPCO 2022: 2046-2050 - [c12]Vinay Chakravarthi Gogineni, Ashkan Moradi, Naveen K. D. Venkategowda, Stefan Werner:
Communication-Efficient and Privacy-Aware Distributed LMS Algorithm. FUSION 2022: 1-6 - [c11]Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh:
Communication-Efficient Online Federated Learning Framework for Nonlinear Regression. ICASSP 2022: 5228-5232 - [c10]François Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh:
Resource-Aware Asynchronous Online Federated Learning for Nonlinear Regression. ICC 2022: 2828-2833 - 2021
- [j12]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): 2695-2699 (2021) - [j11]Vitor Rosa Meireles 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: 62-74 (2021) - [c9]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: 1541-1545 - [c8]Vinay Chakravarthi Gogineni, Valeriya Naumova, Stefan Werner, Yih-Fang Huang:
Graph Kernel Recursive Least-Squares Algorithms. APSIPA ASC 2021: 2072-2076 - [c7]Vitor Rosa Meireles Elias, Vinay Chakravarthi Gogineni, Wallace A. Martins, Stefan Werner:
Kernel Regression on Graphs in Random Fourier Features Space. ICASSP 2021: 5235-5239 - [c6]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: 46-50 - [i10]Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh:
Communication-Efficient Online Federated Learning Framework for Nonlinear Regression. CoRR abs/2110.06556 (2021) - [i9]François Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh:
Resource-Aware Asynchronous Online Federated Learning for Nonlinear Regression. CoRR abs/2111.13931 (2021) - 2020
- [j10]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: 1884-1888 (2020) - [j9]Vinay Chakravarthi Gogineni, Mrityunjoy Chakraborty:
Improving the Performance of Multitask Diffusion APA via Controlled Inter-Cluster Cooperation. IEEE Trans. Circuits Syst. I Regul. Pap. 67-I(3): 903-912 (2020) - [j8]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. 67-II(12): 3557-3561 (2020) - [c5]Vinay Chakravarthi Gogineni, Vitor Rosa Meireles Elias, Wallace A. Martins, Stefan Werner:
Graph Diffusion Kernel LMS using Random Fourier Features. ACSSC 2020: 1528-1532
2010 – 2019
- 2019
- [j7]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): 1223-1227 (2019) - [c4]Vinay Chakravarthi Gogineni, Mrityunjoy Chakraborty:
Partial Diffusion Affine Projection Algorithm Over Clustered Multitask Networks. ISCAS 2019: 1-5 - 2018
- [j6]Vinay Chakravarthi Gogineni, Subrahmanyam Mula:
Improved proportionate-type sparse adaptive filtering under maximum correntropy criterion in impulsive noise environments. Digit. Signal Process. 79: 190-198 (2018) - [j5]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: 118-132 (2018) - [j4]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): 1750-1762 (2018) - [c3]Vinay Chakravarthi Gogineni, Mrityunjoy Chakraborty:
Diffusion Affine Projection Algorithm for Multitask Networks. APSIPA 2018: 201-206 - 2017
- [j3]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: 183-196 (2017) - [j2]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 64-II(9): 1112-1116 (2017) - [j1]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): 2588-2601 (2017) - [i8]Subrahmanyam Mula, Vinay Chakravarthi Gogineni, Anindya Sundar Dhar:
Algorithm/Architecture Co-design of Proportionate-type LMS Adaptive Filters for Sparse System Identification. CoRR abs/1703.10658 (2017) - [i7]Vinay Chakravarthi Gogineni, Subrahmanyam Mula:
Proportionate Adaptive Filtering under Correntropy Criterion in Impulsive Noise Environments. CoRR abs/1707.00315 (2017) - [i6]Vinay Chakravarthi Gogineni, Subrahmanyam Mula:
Constrained Least Mean Logarithmic Square Algorithm: Design and Performance Analysis. CoRR abs/1711.04907 (2017) - 2016
- [c2]Vinay Chakravarthi Gogineni, Subrahmanyam Mula, Rajib Lochan Das, Mrityunjoy Chakraborty:
Performance analysis of proportionate-type LMS algorithms. SPA 2016: 177-181 - [i5]Kota Naga Srinivasarao Batta, Vinay Chakravarthi Gogineni, Subrahmanyam Mula, Indrajit Chakrabarti:
VLSI Friendly Framework for Scalable Video Coding based on Compressed Sensing. CoRR abs/1602.07453 (2016) - 2015
- [i4]Vinay Chakravarthi Gogineni, Mrityunjoy Chakraborty:
Diffusion Adaptation Over Clustered Multitask Networks Based on the Affine Projection Algorithm. CoRR abs/1507.08566 (2015) - [i3]Vinay Chakravarthi Gogineni:
Adaptive Convex Combination of APA and ZA-APA algorithms for Sparse System Identification. CoRR abs/1509.03203 (2015) - [i2]Vinay Chakravarthi Gogineni, Mrityunjoy Chakraborty:
Distributed Multi-task APA over Adaptive Networks Based on Partial Diffusion. CoRR abs/1509.09157 (2015) - [i1]Vinay Chakravarthi Gogineni, Subrahmanyam Mula:
Convergence Analysis of Proportionate-type Least Mean Square Algorithms. CoRR abs/1512.04004 (2015) - 2014
- [c1]Vinay Chakravarthi Gogineni, Rajib Lochan Das, Mrityunjoy Chakraborty:
Proportionate-type hard thresholding adaptive filter for sparse system identification. APSIPA 2014: 1-6
Coauthor Index
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last updated on 2024-10-16 20:31 CEST by the dblp team
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