A New Approach to Distributed Hypothesis Testing and Non-Bayesian Learning: Improved Learning Rate and Byzantine-Resilience

5 July 2019

Papers citing "A New Approach to Distributed Hypothesis Testing and Non-Bayesian Learning: Improved Learning Rate and Byzantine-Resilience"

8 / 8 papers shown

Title
Doeblin Coefficients and Related Measures A. Makur Japneet Singh 53 2 0 15 Sep 2023
Robust Online and Distributed Mean Estimation Under Adversarial Data Corruption Tong Yao S. Sundaram FedML 51 3 0 17 Sep 2022
On the Arithmetic and Geometric Fusion of Beliefs for Distributed Inference Mert Kayaalp Yunus Inan E. Telatar Ali H. Sayed FedML 44 27 0 28 Apr 2022
Optimal Aggregation Strategies for Social Learning over Graphs Ping Hu Virginia Bordignon Stefan Vlaski Ali H. Sayed 25 6 0 14 Mar 2022
Self-aware Social Learning over Graphs K. Ntemos Virginia Bordignon Stefan Vlaski Ali H. Sayed FedML 13 4 0 25 Oct 2021
Exploiting Heterogeneity in Robust Federated Best-Arm Identification A. Mitra Hamed Hassani George Pappas FedML 107 27 0 13 Sep 2021
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
Local non-Bayesian social learning with stubborn agents Daniel Vial V. Subramanian FedML 26 6 0 29 Apr 2019