Decentralized Bayesian Learning over Graphs

24 May 2019

Papers citing "Decentralized Bayesian Learning over Graphs"

8 / 8 papers shown

Title
Impact of network topology on the performance of Decentralized Federated Learning Luigi Palmieri C. Boldrini Lorenzo Valerio A. Passarella M. Conti 34 5 0 28 Feb 2024
Distributed Markov Chain Monte Carlo Sampling based on the Alternating Direction Method of Multipliers Alexandros E. Tzikas Licio Romao Mert Pilanci Alessandro Abate Mykel J. Kochenderfer 26 0 0 29 Jan 2024
Joint Signal Recovery and Graph Learning from Incomplete Time-Series Amirhossein Javaheri Arash Amini F. Marvasti Daniel P. Palomar 26 2 0 28 Dec 2023
The effect of network topologies on fully decentralized learning: a preliminary investigation Luigi Palmieri Lorenzo Valerio C. Boldrini A. Passarella 19 8 0 29 Jul 2023
Bristle: Decentralized Federated Learning in Byzantine, Non-i.i.d. Environments Joost Verbraeken M. Vos J. Pouwelse 23 4 0 21 Oct 2021
Decentralized Bayesian Learning with Metropolis-Adjusted Hamiltonian Monte Carlo Vyacheslav Kungurtsev Adam D. Cobb T. Javidi Brian Jalaian 51 4 0 15 Jul 2021
BayGo: Joint Bayesian Learning and Information-Aware Graph Optimization Tamara Alshammari S. Samarakoon Anis Elgabli M. Bennis 14 5 0 09 Nov 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 261 9,134 0 06 Jun 2015