Naveen K. D. Venkategowda

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 47

Top Topics

Distributed Learning

Sensor Networks

Quantile Regression

Top Venues

IEEE Signal Process. Lett.

Publications

Ehsan Lari, Reza Arablouei, Naveen K. D. Venkategowda, Stefan Werner
Distributed Maximum Consensus over Noisy Links. CoRR (2024)
Priyanka Maity, Suraj Srivastava, Kunwar Pritiraj Rajput, Naveen K. D. Venkategowda, Aditya K. Jagannatham, Lajos Hanzo
Hybrid Precoder and Combiner Designs for Decentralized Parameter Estimation in mmWave MIMO Wireless Sensor Networks. IEEE Internet Things J. 11 (1) (2024)
Reza Mirzaeifard, Naveen K. D. Venkategowda, Stefan Werner
Robust Networked Federated Learning for Localization. APSIPA ASC (2023)
Priyanka Maity, Kunwar Pritiraj Rajput, Suraj Srivastava, Naveen K. D. Venkategowda, Aditya K. Jagannatham, Lajos Hanzo
Robust Hybrid Transceiver Designs for Linear Decentralized Estimation in mmWave MIMO IoT Networks in the Face of Imperfect CSI. CoRR (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)
Reza Mirzaeifard, Naveen K. D. Venkategowda, Alexander Jung, Stefan Werner
Moreau Envelope ADMM for Decentralized Weakly Convex Optimization. CoRR (2023)
Reza Mirzaeifard, Vinay Chakravarthi Gogineni, Naveen K. D. Venkategowda, Stefan Werner
Distributed Quantile Regression with Non-Convex Sparse Penalties. SSP (2023)
Priyanka Maity, Kunwar Pritiraj Rajput, Suraj Srivastava, Naveen K. D. Venkategowda, Aditya K. Jagannatham, Lajos Hanzo
Robust Hybrid Transceiver Designs for Linear Decentralized Estimation in mmWave MIMO IoT Networks in the Face of Imperfect CSI. IEEE Internet Things J. 10 (20) (2023)
Reza Mirzaeifard, Naveen K. D. Venkategowda, Alexander Jung, Stefan Werner
Moreau Envelope ADMM for Decentralized Weakly Convex Optimization. APSIPA ASC (2023)
Kunwar Pritiraj Rajput, Priyanka Maity, Suraj Srivastava, Vikas Sharma, Naveen K. D. Venkategowda, Aditya K. Jagannatham, Lajos Hanzo
Robust Linear Hybrid Beamforming Designs Relying on Imperfect CSI in mmWave MIMO IoT Networks. IEEE Internet Things J. 10 (10) (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)
Reza Mirzaeifard, Naveen K. D. Venkategowda, Stefan Werner
Robust Networked Federated Learning for Localization. CoRR (2023)
Meesam Jafri, Suraj Srivastava, Naveen K. D. Venkategowda, Aditya K. Jagannatham, Lajos Hanzo
Cooperative Hybrid Transmit Beamforming in Cell-Free mmWave MIMO Networks. IEEE Trans. Veh. Technol. 72 (5) (2023)
Mohammad Faisal Ahmed, Kunwar Pritiraj Rajput, Naveen K. D. Venkategowda, Kumar Vijay Mishra, Aditya K. Jagannatham
Joint Transmit and Reflective Beamformer Design for Secure Estimation in IRS-Aided WSNs. CoRR (2022)
Reza Mirzaeifard, Naveen K. D. Venkategowda, Vinay Chakravarthi Gogineni, Stefan Werner
ADMM for Sparse-Penalized Quantile Regression with Non-Convex Penalties. EUSIPCO (2022)
Ashkan Moradi, Naveen K. D. Venkategowda, Sayed Pouria Talebi, Stefan Werner
Privacy-Preserving Distributed Kalman Filtering. IEEE Trans. Signal Process. 70 (2022)
Victor Wattin Håkansson, Naveen K. D. Venkategowda, Stefan Werner, Pramod K. Varshney
Optimal Scheduling of Multiple Spatiotemporally Dependent Observations for Remote Estimation Using Age of Information. IEEE Internet Things J. 9 (20) (2022)
Vinay Chakravarthi Gogineni, Ashkan Moradi, Naveen K. D. Venkategowda, Stefan Werner
Communication-Efficient and Privacy-Aware Distributed LMS Algorithm. FUSION (2022)
Reza Mirzaeifard, Naveen K. D. Venkategowda, Stefan Werner
Robust Phase Retrieval with Non-Convex Penalties. IEEECONF (2022)
Cristiano Gratton, Naveen K. D. Venkategowda, Reza Arablouei, Stefan Werner
Privacy-Preserved Distributed Learning With Zeroth-Order Optimization. IEEE Trans. Inf. Forensics Secur. 17 (2022)
Reza Mirzaeifard, Vinay Chakravarthi Gogineni, Naveen K. D. Venkategowda, Stefan Werner
Dynamic Graph Topology Learning with Non-Convex Penalties. EUSIPCO (2022)
Mohammad Faisal Ahmed, Kunwar Pritiraj Rajput, Naveen K. D. Venkategowda, Kumar Vijay Mishra, Aditya K. Jagannatham
Joint Transmit and Reflective Beamformer Design for Secure Estimation in IRS-Aided WSNs. IEEE Signal Process. Lett. 29 (2022)
Cristiano Gratton, Naveen K. D. Venkategowda, Reza Arablouei, Stefan Werner
Distributed Learning over Networks with Non-Smooth Regularizers and Feature Partitioning. EUSIPCO (2021)
Victor Wattin Håkansson, Naveen K. D. Venkategowda, Stefan Werner
Optimal Transmission Threshold and Channel Allocation Strategies for Heterogeneous Sensor Data. ACSCC (2021)
Bettina D. Barros, Naveen K. D. Venkategowda, Stefan Werner
Quickest Detection of Stochastic False Data Injection Attacks with Unknown Parameters. SSP (2021)
Ashkan Moradi, Naveen K. D. Venkategowda, Sayed Pouria Talebi, Stefan Werner
Distributed Kalman Filtering with Privacy against Honest-but-Curious Adversaries. ACSCC (2021)
Kunwar Pritiraj Rajput, Mohammad Faisal Ahmed, Naveen K. D. Venkategowda, Aditya K. Jagannatham, Govind Sharma, Lajos Hanzo
Robust Decentralized and Distributed Estimation of a Correlated Parameter Vector in MIMO-OFDM Wireless Sensor Networks. IEEE Trans. Commun. 69 (10) (2021)
Ashkan Moradi, Naveen K. D. Venkategowda, Sayed Pouria Talebi, Stefan Werner
Securing the D istributed Kalman Filter Against Curious Agents. FUSION (2021)
Kunwar Pritiraj Rajput, Yogesh Verma, Naveen K. D. Venkategowda, Aditya K. Jagannatham, Pramod K. Varshney
Robust Linear Transceiver Designs for Vector Parameter Estimation in MIMO Wireless Sensor Networks Under CSI Uncertainty. IEEE Trans. Veh. Technol. 70 (8) (2021)
Naveen K. D. Venkategowda, Stefan Werner
Privacy-Preserving Distributed Maximum Consensus. IEEE Signal Process. Lett. 27 (2020)
François Gauthier, Cristiano Gratton, Naveen K. D. Venkategowda, Stefan Werner
Privacy-Preserving Distributed Learning with Nonsmooth Objective Functions. ACSSC (2020)
Victor Wattin Håkansson, Naveen K. D. Venkategowda, Stefan Werner
Optimal Scheduling of Multiple Spatio-temporally Dependent Observations using Age-of-Information. ACSSC (2020)
Victor Wattin Håkansson, Naveen K. D. Venkategowda, Stefan Werner
Optimal Scheduling Policy for Spatio-temporally Dependent Observations using Age-of-Information. FUSION (2020)
Cristiano Gratton, Naveen K. D. Venkategowda, Reza Arablouei, Stefan Werner
Distributed Learning with Non-Smooth Objective Functions. EUSIPCO (2020)
Kunwar Pritiraj Rajput, Yogesh Verma, Naveen K. D. Venkategowda, Aditya K. Jagannatham, Pramod K. Varshney
Linear MMSE Precoder Combiner Designs for Decentralized Estimation in Wireless Sensor Networks. GLOBECOM (2020)
Victor Wattin Håkansson, Naveen K. D. Venkategowda, Frank Alexander Kraemer, Stefan Werner
Cost-Aware Dual Prediction Scheme for Reducing Transmissions at IoT Sensor Nodes. EUSIPCO (2019)
Ashkan Moradi, Naveen K. D. Venkategowda, Stefan Werner
Coordinated Data-Falsification Attacks in Consensus-based Distributed Kalman Filtering. CAMSAP (2019)
Cristiano Gratton, Naveen K. D. Venkategowda, Reza Arablouei, Stefan Werner
Consensus-based Distributed Total Least-squares Estimation Using Parametric Semidefinite Programming. ICASSP (2019)
Sagar Somashekar, Naveen K. D. Venkategowda, Aditya K. Jagannatham
Bandwidth efficient optimal superimposed pilot design for channel estimation in OSTBC based MIMO-OFDM systems. Phys. Commun. 26 (2018)
Cristiano Gratton, Naveen K. D. Venkategowda, Reza Arablouei, Stefan Werner
Distributed Ridge Regression with Feature Partitioning. ACSSC (2018)
Naveen K. D. Venkategowda, Stefan Werner
Privacy-Preserving Distributed Precoder Design for Decentralized Estimation. GlobalSIP (2018)
Naveen K. D. Venkategowda, Hoon Lee, Inkyu Lee
Joint Transceiver Designs for MSE Minimization in MIMO Wireless Powered Sensor Networks. IEEE Trans. Wirel. Commun. 17 (8) (2018)
Naveen K. D. Venkategowda, Himanshu B. Mishra
Optimal Energy Transmission for Decentralized Detection in Wireless Powered Sensor Networks. VTC Fall (2018)
Naveen K. D. Venkategowda, Bhargav B. Narayana, Aditya K. Jagannatham
Precoding for Robust Decentralized Estimation in Coherent-MAC-Based Wireless Sensor Networks. IEEE Signal Process. Lett. 24 (2) (2017)
Naveen K. D. Venkategowda, Hoon Lee, Inkyu Lee
Data Precoding and Energy Transmission for Parameter Estimation in MIMO Wireless Powered Sensor Networks. VTC Fall (2017)
Himanshu B. Mishra, Naveen K. D. Venkategowda, Aditya K. Jagannatham
Affine precoding-based superimposed training for semi-blind channel estimation in OSTBC MIMO-OFDM systems. ACSSC (2017)
Apoorva Chawla, Naveen K. D. Venkategowda, Aditya K. Jagannatham
Pilot based channel estimation for frequency selective multi-user MIMO MC-CDMA systems. NCC (2017)
Vishwa Dadhania, Naveen K. D. Venkategowda, Aditya K. Jagannatham
Multi-user beamforming for sum-rate maximization in frequency-selective MIMO MC-CDMA systems. ICICS (2015)
Naveen K. D. Venkategowda, Nitin Tandon, Aditya K. Jagannatham
MVDR-Based Multicell Cooperative Beamforming Techniques for Unicast/Multicast MIMO Networks With Perfect/Imperfect CSI. IEEE Trans. Veh. Technol. 64 (11) (2015)
Naveen K. D. Venkategowda, Aditya K. Jagannatham
Optimal Minimum Variance Distortionless Precoding (MVDP) for Decentralized Estimation in MIMO Wireless Sensor Networks. IEEE Signal Process. Lett. 22 (6) (2015)
Naveen K. D. Venkategowda, Nitin Tandon, Aditya K. Jagannatham
Cooperative multi-cell beamforming for MIMO unicast/ multicast broadband H.264 scalable video networks. ICME (2013)
Naveen K. D. Venkategowda, Aditya K. Jagannatham
WR based semi-blind channel estimation for frequency-selective MIMO MC-CDMA systems. WCNC (2012)