Federated Learning for Non-factorizable Models using Deep Generative
Prior Approximations

Federated Learning for Non-factorizable Models using Deep Generative Prior Approximations

25 May 2024

Elizaveta Semenova

Antonietta Mira

Kerrie Mengersen

Papers citing "Federated Learning for Non-factorizable Models using Deep Generative Prior Approximations"

13 / 13 papers shown

Title
Bayesian Graph Neural Networks with Adaptive Connection Sampling Arman Hasanzadeh Ehsan Hajiramezanali Shahin Boluki Mingyuan Zhou N. Duffield Krishna R. Narayanan Xiaoning Qian BDL 46 118 0 07 Jun 2020
Composable Effects for Flexible and Accelerated Probabilistic Programming in NumPyro Du Phan Neeraj Pradhan M. Jankowiak 56 358 0 24 Dec 2019
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 217 6,247 0 10 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 434 42,393 0 03 Dec 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 216 3,893 0 12 Jul 2019
Recent Advances in Autoencoder-Based Representation Learning Michael Tschannen Olivier Bachem Mario Lucic OOD SSL DRL 64 443 0 12 Dec 2018
Pyro: Deep Universal Probabilistic Programming Eli Bingham Jonathan P. Chen M. Jankowiak F. Obermeyer Neeraj Pradhan Theofanis Karaletsos Rohit Singh Paul A. Szerlip Paul Horsfall Noah D. Goodman BDL GP 155 1,053 0 18 Oct 2018
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 175 690 0 15 Nov 2017
Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference Geoffrey Roeder Yuhuai Wu David Duvenaud BDL 104 201 0 27 Mar 2017
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 390 17,453 0 17 Feb 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 256 4,787 0 04 Jan 2016
Stochastic Variational Inference Matt Hoffman David M. Blei Chong-Jun Wang John Paisley BDL 252 2,621 0 29 Jun 2012
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo Matthew D. Hoffman Andrew Gelman 162 4,297 0 18 Nov 2011