WR based semi-blind channel estimation for frequency-selective MIMO MC-CDMA systems. - Naveen K. D. Venkategowda; Aditya K. Jagannatham (WCNC, 2012)

Cooperative multi-cell beamforming for MIMO unicast/ multicast broadband H.264 scalable video networks. - Naveen K. D. Venkategowda; Nitin Tandon; Aditya K. Jagannatham (ICME, 2013)

Multi-user beamforming for sum-rate maximization in frequency-selective MIMO MC-CDMA systems. - Vishwa Dadhania; Naveen K. D. Venkategowda; Aditya K. Jagannatham (ICICS, 2015)

Optimal Minimum Variance Distortionless Precoding (MVDP) for Decentralized Estimation in MIMO Wireless Sensor Networks. - Naveen K. D. Venkategowda; Aditya K. Jagannatham (IEEE Signal Process. Lett., 2015)

MVDR-Based Multicell Cooperative Beamforming Techniques for Unicast/Multicast MIMO Networks With Perfect/Imperfect CSI. - Naveen K. D. Venkategowda; Nitin Tandon; Aditya K. Jagannatham (IEEE Trans. Veh. Technol., 2015)

Affine precoding-based superimposed training for semi-blind channel estimation in OSTBC MIMO-OFDM systems. - Himanshu B. Mishra; Naveen K. D. Venkategowda; Aditya K. Jagannatham (ACSSC, 2017)

Pilot based channel estimation for frequency selective multi-user MIMO MC-CDMA systems. - Apoorva Chawla; Naveen K. D. Venkategowda; Aditya K. Jagannatham (NCC, 2017)

Data Precoding and Energy Transmission for Parameter Estimation in MIMO Wireless Powered Sensor Networks. - Naveen K. D. Venkategowda; Hoon Lee; Inkyu Lee (VTC Fall, 2017)

Precoding for Robust Decentralized Estimation in Coherent-MAC-Based Wireless Sensor Networks. - Naveen K. D. Venkategowda; Bhargav B. Narayana; Aditya K. Jagannatham (IEEE Signal Process. Lett., 2017)

Distributed Ridge Regression with Feature Partitioning. - Cristiano Gratton; Naveen K. D. Venkategowda; Reza Arablouei; Stefan Werner 001 (ACSSC, 2018)

Privacy-Preserving Distributed Precoder Design for Decentralized Estimation. - Naveen K. D. Venkategowda; Stefan Werner 001 (GlobalSIP, 2018)

Optimal Energy Transmission for Decentralized Detection in Wireless Powered Sensor Networks. - Naveen K. D. Venkategowda; Himanshu B. Mishra (VTC Fall, 2018)

Bandwidth efficient optimal superimposed pilot design for channel estimation in OSTBC based MIMO-OFDM systems. - Sagar Somashekar; Naveen K. D. Venkategowda; Aditya K. Jagannatham (Phys. Commun., 2018)

Joint Transceiver Designs for MSE Minimization in MIMO Wireless Powered Sensor Networks. - Naveen K. D. Venkategowda; Hoon Lee; Inkyu Lee (IEEE Trans. Wirel. Commun., 2018)

Coordinated Data-Falsification Attacks in Consensus-based Distributed Kalman Filtering. - Ashkan Moradi; Naveen K. D. Venkategowda; Stefan Werner 001 (CAMSAP, 2019)

Cost-Aware Dual Prediction Scheme for Reducing Transmissions at IoT Sensor Nodes. - Victor Wattin Håkansson; Naveen K. D. Venkategowda; Frank Alexander Kraemer; Stefan Werner 001 (EUSIPCO, 2019)

Consensus-based Distributed Total Least-squares Estimation Using Parametric Semidefinite Programming. - Cristiano Gratton; Naveen K. D. Venkategowda; Reza Arablouei; Stefan Werner 001 (ICASSP, 2019)

Privacy-Preserving Distributed Learning with Nonsmooth Objective Functions. - François Gauthier 002; Cristiano Gratton; Naveen K. D. Venkategowda; Stefan Werner 001 (ACSSC, 2020)

Optimal Scheduling of Multiple Spatio-temporally Dependent Observations using Age-of-Information. - Victor Wattin Håkansson; Naveen K. D. Venkategowda; Stefan Werner 001 (ACSSC, 2020)

Distributed Learning with Non-Smooth Objective Functions. - Cristiano Gratton; Naveen K. D. Venkategowda; Reza Arablouei; Stefan Werner 001 (EUSIPCO, 2020)

Optimal Scheduling Policy for Spatio-temporally Dependent Observations using Age-of-Information. - Victor Wattin Håkansson; Naveen K. D. Venkategowda; Stefan Werner 001 (FUSION, 2020)

Linear MMSE Precoder Combiner Designs for Decentralized Estimation in Wireless Sensor Networks. - Kunwar Pritiraj Rajput; Yogesh Verma; Naveen K. D. Venkategowda; Aditya K. Jagannatham; Pramod K. Varshney (GLOBECOM, 2020)

Privacy-Preserving Distributed Maximum Consensus. - Naveen K. D. Venkategowda; Stefan Werner 001 (IEEE Signal Process. Lett., 2020)

Optimal Transmission Threshold and Channel Allocation Strategies for Heterogeneous Sensor Data. - Victor Wattin Håkansson; Naveen K. D. Venkategowda; Stefan Werner 001 (ACSCC, 2021)

Distributed Kalman Filtering with Privacy against Honest-but-Curious Adversaries. - Ashkan Moradi; Naveen K. D. Venkategowda; Sayed Pouria Talebi; Stefan Werner 001 (ACSCC, 2021)

Distributed Learning over Networks with Non-Smooth Regularizers and Feature Partitioning. - Cristiano Gratton; Naveen K. D. Venkategowda; Reza Arablouei; Stefan Werner 001 (EUSIPCO, 2021)

Securing the D istributed Kalman Filter Against Curious Agents. - Ashkan Moradi; Naveen K. D. Venkategowda; Sayed Pouria Talebi; Stefan Werner 001 (FUSION, 2021)

Quickest Detection of Stochastic False Data Injection Attacks with Unknown Parameters. - Bettina D. Barros; Naveen K. D. Venkategowda; Stefan Werner 001 (SSP, 2021)

Robust Decentralized and Distributed Estimation of a Correlated Parameter Vector in MIMO-OFDM Wireless Sensor Networks. - Kunwar Pritiraj Rajput; Mohammad Faisal Ahmed; Naveen K. D. Venkategowda; Aditya K. Jagannatham; Govind Sharma 004; Lajos Hanzo (IEEE Trans. Commun., 2021)

Robust Linear Transceiver Designs for Vector Parameter Estimation in MIMO Wireless Sensor Networks Under CSI Uncertainty. - Kunwar Pritiraj Rajput; Yogesh Verma; Naveen K. D. Venkategowda; Aditya K. Jagannatham; Pramod K. Varshney (IEEE Trans. Veh. Technol., 2021)

Robust Phase Retrieval with Non-Convex Penalties. - Reza Mirzaeifard; Naveen K. D. Venkategowda; Stefan Werner 001 (IEEECONF, 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)

Optimal Scheduling of Multiple Spatiotemporally Dependent Observations for Remote Estimation Using Age of Information. - Victor Wattin Håkansson; Naveen K. D. Venkategowda; Stefan Werner 001; Pramod K. Varshney (IEEE Internet Things J., 2022)

Joint Transmit and Reflective Beamformer Design for Secure Estimation in IRS-Aided WSNs. - Mohammad Faisal Ahmed; Kunwar Pritiraj Rajput; Naveen K. D. Venkategowda; Kumar Vijay Mishra; Aditya K. Jagannatham (IEEE Signal Process. Lett., 2022)

Privacy-Preserved Distributed Learning With Zeroth-Order Optimization. - Cristiano Gratton; Naveen K. D. Venkategowda; Reza Arablouei; Stefan Werner 001 (IEEE Trans. Inf. Forensics Secur., 2022)

Privacy-Preserving Distributed Kalman Filtering. - Ashkan Moradi; Naveen K. D. Venkategowda; Sayed Pouria Talebi; Stefan Werner 001 (IEEE Trans. Signal Process., 2022)

Moreau Envelope ADMM for Decentralized Weakly Convex Optimization. - Reza Mirzaeifard; Naveen K. D. Venkategowda; Alexander Jung; Stefan Werner 001 (APSIPA ASC, 2023)

Robust Networked Federated Learning for Localization. - Reza Mirzaeifard; Naveen K. D. Venkategowda; Stefan Werner 001 (APSIPA ASC, 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)

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)

Robust Linear Hybrid Beamforming Designs Relying on Imperfect CSI in mmWave MIMO IoT Networks. - Kunwar Pritiraj Rajput; Priyanka Maity; Suraj Srivastava; Vikas Sharma; Naveen K. D. Venkategowda; Aditya K. Jagannatham; Lajos Hanzo (IEEE Internet Things J., 2023)

Cooperative Hybrid Transmit Beamforming in Cell-Free mmWave MIMO Networks. - Meesam Jafri; Suraj Srivastava; Naveen K. D. Venkategowda; Aditya K. Jagannatham; Lajos Hanzo (IEEE Trans. Veh. Technol., 2023)

Robust Hybrid Transceiver Designs for Linear Decentralized Estimation in mmWave MIMO IoT Networks in the Face of Imperfect CSI. - Priyanka Maity; Kunwar Pritiraj Rajput; Suraj Srivastava; Naveen K. D. Venkategowda; Aditya K. Jagannatham; Lajos Hanzo (IEEE Internet Things J., 2023)

Distributed Maximum Consensus Over Noisy Links. - Ehsan Lari; Reza Arablouei; Naveen K. D. Venkategowda; Stefan Werner 001 (EUSIPCO, 2024)

Hybrid Precoder and Combiner Designs for Decentralized Parameter Estimation in mmWave MIMO Wireless Sensor Networks. - Priyanka Maity; Suraj Srivastava; Kunwar Pritiraj Rajput; Naveen K. D. Venkategowda; Aditya K. Jagannatham; Lajos Hanzo (IEEE Internet Things J., 2024)