Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Venkategowda, Naveen K. D."'
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 noisy communication links. Our approach entails redefining the maximum c
Externí odkaz:
http://arxiv.org/abs/2403.18509
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 deviation (SCAD). The non-smooth and non-convex nature of these problem
Externí odkaz:
http://arxiv.org/abs/2309.03094
This paper proposes a proximal variant of the alternating direction method of multipliers (ADMM) for distributed optimization. Although the current versions of ADMM algorithm provide promising numerical results in producing solutions that are close t
Externí odkaz:
http://arxiv.org/abs/2308.16752
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. Due to the decentralized nature of federated environments, distributed
Externí odkaz:
http://arxiv.org/abs/2308.16737
This paper proposes a Byzantine-resilient consensus-based distributed filter (BR-CDF) wherein network agents employ partial sharing of state parameters. We characterize the performance and convergence of the BR-CDF and study the impact of a coordinat
Externí odkaz:
http://arxiv.org/abs/2307.13906
Autor:
Maity, Priyanka, Srivastava, Suraj, Rajput, Kunwar Pritiraj, Venkategowda, Naveen K. D., Jagannatham, Aditya K., Hanzo, Lajos
Hybrid precoder and combiner designs are conceived for decentralized parameter estimation in millimeter wave (mmWave) multiple-input multiple-output (MIMO) wireless sensor networks (WSNs). More explicitly, efficient pre- and post-processing of the se
Externí odkaz:
http://arxiv.org/abs/2306.14301
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 and potential eavesdroppers, we use the zero-concentrated differentia
Externí odkaz:
http://arxiv.org/abs/2306.14012
Autor:
Maity, Priyanka, Rajput, Kunwar Pritiraj, Srivastava, Suraj, Venkategowda, Naveen K. D., Jagannatham, Aditya K., Hanzo, Lajos
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), it is demonstrated that the MSE performance is determined by the num
Externí odkaz:
http://arxiv.org/abs/2305.10887
Autor:
Rajput, Kunwar Pritiraj, Maity, Priyanka, Srivastava, Suraj, Sharma, Vikas, Venkategowda, Naveen K. D., Jagannatham, Aditya K., Hanzo, Lajos
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 of Things network (IoTNe). The proposed designs incorporate both total
Externí odkaz:
http://arxiv.org/abs/2212.12917
Autor:
Jafri, Meesam, Srivastava, Suraj, Venkategowda, Naveen K. D., Jagannatham, Aditya K., Hanzo, Lajos
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 interference mitigation. Initially, we derive an optimal hybrid trans
Externí odkaz:
http://arxiv.org/abs/2212.07318