A New Approach for Distributed Hypothesis Testing with Extensions to Byzantine-Resilience

14 March 2019

Papers citing "A New Approach for Distributed Hypothesis Testing with Extensions to Byzantine-Resilience"

12 / 12 papers shown

Title
Classification with a Network of Partially Informative Agents: Enabling Wise Crowds from Individually Myopic Classifiers Tong Yao Shreyas Sundaram 27 0 0 30 Sep 2024
Non-Bayesian Social Learning with Multiview Observations Dongyan Sui Weichen Cao Stefan Vlaski Chun Guan Siyang Leng 46 0 0 30 Jul 2024
Detection of Malicious Agents in Social Learning Valentina Shumovskaia Mert Kayaalp Ali H. Sayed 52 0 0 19 Mar 2024
Distributed Bayesian Estimation in Sensor Networks: Consensus on Marginal Densities P. Paritosh Nikolay Atanasov Sonia Martinez 43 0 0 02 Dec 2023
How Physicality Enables Trust: A New Era of Trust-Centered Cyberphysical Systems Stephanie Gil M. Yemini A. Chorti Angelia Nedić H. Vincent Poor Andrea J. Goldsmith AI4CE 108 12 0 13 Nov 2023
A Survey of Graph-Theoretic Approaches for Analyzing the Resilience of Networked Control Systems Mohammad Pirani A. Mitra S. Sundaram AI4CE 68 8 0 25 May 2022
A General Framework for Distributed Inference with Uncertain Models James Z. Hare César A. Uribe Lance M. Kaplan Ali Jadbabaie FedML 57 9 0 20 Nov 2020
Robust Asynchronous and Network-Independent Cooperative Learning E. Mojica-Nava David Yanguas-Rojas César A. Uribe 19 1 0 20 Oct 2020
Distributed Hypothesis Testing and Social Learning in Finite Time with a Finite Amount of Communication S. Sundaram A. Mitra 12 2 0 02 Apr 2020
Distributed Inference with Sparse and Quantized Communication A. Mitra J. Richards S. Bagchi S. Sundaram 42 18 0 02 Apr 2020
A Communication-Efficient Algorithm for Exponentially Fast Non-Bayesian Learning in Networks A. Mitra J. Richards S. Sundaram 47 15 0 04 Sep 2019
A New Approach to Distributed Hypothesis Testing and Non-Bayesian Learning: Improved Learning Rate and Byzantine-Resilience A. Mitra J. Richards S. Sundaram FedML 110 45 0 05 Jul 2019