3 citations · 5 across the 13 of their papers we have counts for
14 papers
Joint Target-Tag Estimation in Ambient Backscatter-Based ISAC
Awadhesh Gupta, Kumar Vijay Mishra, Naveen K. D. Venkategowda +1
Integrated sensing and communication (ISAC) has emerged as a key paradigm for unifying radar sensing and wireless communications within a shared hardware and spectral framework. In…
Distributed Maximum Consensus over Noisy Links
Ehsan Lari, Reza Arablouei, Naveen K. D. Venkategowda +1
We introduce a distributed algorithm, termed noise-robust distributed maximum consensus (RD-MC), for estimating the maximum value within a multi-agent network in the presence of no…
Smoothing ADMM for Sparse-Penalized Quantile Regression with Non-Convex Penalties
Reza Mirzaeifard, Naveen K. D. Venkategowda, Vinay Chakravarthi Gogineni +1
This paper investigates quantile regression in the presence of non-convex and non-smooth sparse penalties, such as the minimax concave penalty (MCP) and smoothly clipped absolute d…
Robust Networked Federated Learning for Localization
Reza Mirzaeifard, Naveen K. D. Venkategowda, Stefan Werner
This paper addresses the problem of localization, which is inherently non-convex and non-smooth in a federated setting where the data is distributed across a multitude of devices.…
Moreau Envelope ADMM for Decentralized Weakly Convex Optimization
Reza Mirzaeifard, Naveen K. D. Venkategowda, Alexander Jung +1
This paper proposes a proximal variant of the alternating direction method of multipliers (ADMM) for distributed optimization. Although the current versions of ADMM algorithm provi…
Distributed Filtering Design with Enhanced Resilience to Coordinated Byzantine Attacks
Ashkan Moradi, Vinay Chakravarthi Gogineni, Naveen K. D. Venkategowda +1
This paper proposes a Byzantine-resilient consensus-based distributed filter (BR-CDF) wherein network agents employ partial sharing of state parameters. We characterize the perform…
Hybrid Precoder and Combiner Designs for Decentralized Parameter Estimation in mmWave MIMO Wireless Sensor Networks
Priyanka Maity, Suraj Srivastava, Kunwar Pritiraj Rajput +3
Hybrid precoder and combiner designs are conceived for decentralized parameter estimation in millimeter wave (mmWave) multiple-input multiple-output (MIMO) wireless sensor networks…
Private Networked Federated Learning for Nonsmooth Objectives
François Gauthier, Cristiano Gratton, Naveen K. D. Venkategowda +1
This paper develops a networked federated learning algorithm to solve nonsmooth objective functions. To guarantee the confidentiality of the participants with respect to each other…
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 +3
Hybrid transceivers are designed for linear decentralized estimation (LDE) in a mmWave multiple-input multiple-output (MIMO) IoT network (IoTNe). For a noiseless fusion center (FC)…
Robust Linear Hybrid Beamforming Designs Relying on Imperfect CSI in mmWave MIMO IoT Networks
Kunwar Pritiraj Rajput, Priyanka Maity, Suraj Srivastava +4
Linear hybrid beamformer designs are conceived for the decentralized estimation of a vector parameter in a millimeter wave (mmWave) multiple-input multiple-output (MIMO) Internet o…
Cooperative Hybrid Transmit Beamforming in Cell-free mmWave MIMO Networks
Meesam Jafri, Suraj Srivastava, Naveen K. D. Venkategowda +2
Hybrid precoders and combiners are designed for cooperative cell-free multi-user millimeter wave (mmWave) multiple-input multiple-output (MIMO) cellular networks for low complexity…
Decentralized Optimization with Distributed Features and Non-Smooth Objective Functions
Cristiano Gratton, Naveen K. D. Venkategowda, Reza Arablouei +1
We develop a new consensus-based distributed algorithm for solving learning problems with feature partitioning and non-smooth convex objective functions. Such learning problems are…
Joint Transmit and Reflective Beamformer Design for Secure Estimation in IRS-Aided WSNs
Mohammad Faisal Ahmed, Kunwar Pritiraj Rajput, Naveen K. D. Venkategowda +2
Wireless sensor networks (WSNs) are vulnerable to eavesdropping as the sensor nodes (SNs) communicate over an open radio channel. Intelligent reflecting surface (IRS) technology ca…
Privacy-Preserving Distributed Zeroth-Order Optimization
C. Gratton, N. K. D. Venkategowda, R. Arablouei +1
We develop a privacy-preserving distributed algorithm to minimize a regularized empirical risk function when the first-order information is not available and data is distributed ov…