Decentralized Bayesian Learning over Graphs

Decentralized Bayesian Learning over Graphs

24 May 2019

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Papers citing "Decentralized Bayesian Learning over Graphs"

14 / 14 papers shown

Title
Impact of network topology on the performance of Decentralized Federated Learning Luigi Palmieri Chiara Boldrini Lorenzo Valerio A. Passarella M. Conti 105 8 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 75 0 0 29 Jan 2024
Joint Signal Recovery and Graph Learning from Incomplete Time-Series Amirhossein Javaheri Arash Amini F. Marvasti Daniel P. Palomar 55 3 0 28 Dec 2023
Coordination-free Decentralised Federated Learning on Complex Networks: Overcoming Heterogeneity Lorenzo Valerio Chiara Boldrini A. Passarella János Kertész Márton Karsai Gerardo Iniguez FedML 75 5 0 07 Dec 2023
The effect of network topologies on fully decentralized learning: a preliminary investigation Luigi Palmieri Lorenzo Valerio Chiara Boldrini A. Passarella 65 9 0 29 Jul 2023
Bristle: Decentralized Federated Learning in Byzantine, Non-i.i.d. Environments Joost Verbraeken M. Vos J. Pouwelse 72 4 0 21 Oct 2021
Decentralized Bayesian Learning with Metropolis-Adjusted Hamiltonian Monte Carlo Vyacheslav Kungurtsev Adam D. Cobb T. Javidi Brian Jalaian 90 4 0 15 Jul 2021
BayGo: Joint Bayesian Learning and Information-Aware Graph Optimization Tamara Alshammari S. Samarakoon Anis Elgabli M. Bennis 72 5 0 09 Nov 2020
A(DP) $^2$ SGD: Asynchronous Decentralized Parallel Stochastic Gradient Descent with Differential Privacy Jie Xu Wei Zhang Fei Wang FedML 71 8 0 21 Aug 2020
FedML: A Research Library and Benchmark for Federated Machine Learning Chaoyang He Songze Li Jinhyun So Xiao Zeng Mi Zhang ... Yang Liu Ramesh Raskar Qiang Yang M. Annavaram Salman Avestimehr FedML 276 579 0 27 Jul 2020
A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective Sin Kit Lo Qinghua Lu Chen Wang Hye-Young Paik Liming Zhu FedML 161 85 0 22 Jul 2020
Byzantine-resilient Decentralized Stochastic Gradient Descent Shangwei Guo Tianwei Zhang Hanzhou Yu Xiaofei Xie Lei Ma Tao Xiang Yang Liu 76 49 0 20 Feb 2020
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 304 6,354 0 10 Dec 2019
Federated Learning: Challenges, Methods, and Future Directions Tian Li Anit Kumar Sahu Ameet Talwalkar Virginia Smith FedML 196 4,584 0 21 Aug 2019