Subhrakanti Dey

Professor of Signal Processing

Uppsala University

Sweden

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Articles (18)

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2024

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2024

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2024

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2023

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2023

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2022

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2022

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2022

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2022

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2021

Collaborators (6)

Raffaele IERVOLINO

University of Naples Federico II

ITALY

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LUCA SCHENATO

Associate Professor

University of Padova

ITALY

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Arunava Naha

Assistant Professor

Linköping University

SWEDEN

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André Teixeira

Associate Professor

Uppsala University

SWEDEN

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Anders Ahlén

Uppsala University

SWEDEN

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Daniel E. Quevedo

Queensland University of Technology

AUSTRALIA

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Subhrakanti Dey

Research Interests

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Articles (18)

Novel Bounds for Incremental Hessian Estimation With Application to Zeroth-Order Federated Learning

Differential Privacy in Distributed Optimization With Gradient Tracking

Neural-Network-Based Distributed Generalized Nash Equilibrium Seeking for Uncertain Nonlinear Multiagent Systems

Bayesian Quickest Change-Point Detection With an Energy Harvesting Sensor and Asymptotic Analysis

Communication-Efficient and Differentially-Private Distributed Nash Equilibrium Seeking With Linear Convergence

Compression-Based Privacy Preservation for Distributed Nash Equilibrium Seeking in Aggregative Games

Distributed Average Consensus via Noisy and Non-Coherent Over-the-Air Aggregation

Stealthy Hacking and Secrecy of Controlled State Estimation Systems With Random Dropouts

Sequential Detection of Replay Attacks

A Differentially Private Method for Distributed Optimization in Directed Networks via State Decomposition

Covert Outage Minimization in the Presence of Multiple Wardens

Privacy-Preserving Push-Sum Average Consensus Via State Decomposition

Optimal age-specific vaccination control for COVID-19: An Irish case study

Asymptotic Performance Analysis of Distributed Non-Bayesian Quickest Change Detection With Energy Harvesting Sensors

Enhanced Exploration Least-Squares Methods for Optimal Stopping Problems

Joint Power Allocation for Remote State Estimation With SWIPT

Learning-Based DoS Attack Power Allocation in Multiprocess Systems

Remote State Estimation With a Strategic Sensor Using a Stackelberg Game Framework

Collaborators (6)

Raffaele IERVOLINO

LUCA SCHENATO

Arunava Naha

André Teixeira

Anders Ahlén

Daniel E. Quevedo

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