{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,4]],"date-time":"2025-06-04T17:07:27Z","timestamp":1749056847052,"version":"3.28.0"},"reference-count":27,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,12,4]],"date-time":"2022-12-04T00:00:00Z","timestamp":1670112000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,4]],"date-time":"2022-12-04T00:00:00Z","timestamp":1670112000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,12,4]]},"DOI":"10.1109\/gcwkshps56602.2022.10008503","type":"proceedings-article","created":{"date-parts":[[2023,1,12]],"date-time":"2023-01-12T21:38:14Z","timestamp":1673559494000},"page":"1846-1851","source":"Crossref","is-referenced-by-count":1,"title":["Communication-Efficient Federated Bayesian Learning via Client Selection"],"prefix":"10.1109","author":[{"given":"Jiarong","family":"Yang","sequence":"first","affiliation":[{"name":"South China University of Technology,Electronic and Information Engineering,Guangzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuan","family":"Liu","sequence":"additional","affiliation":[{"name":"South China University of Technology,Electronic and Information Engineering,Guangzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rahif","family":"Kassab","sequence":"additional","affiliation":[{"name":"King&#x2019;s College London,Department of Engineering,UK"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2021.3070974"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2017.2780128"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2922613"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3298981"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3024629"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3037554"},{"key":"ref7","first-page":"1321","article-title":"On calibration of modern neural networks","volume-title":"Proc. Intl. Conf. Mach. Learning (ICML)","author":"Guo"},{"key":"ref8","first-page":"6402","article-title":"Simple and scalable predictive uncertainty estimation using deep ensembles","volume-title":"Proc.Advances Neural Inf. Process. Syst.","author":"Lakshminarayanan"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511804779"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1561\/9781680834734"},{"key":"ref11","first-page":"1044","article-title":"Distributed stochastic gradient mcmc","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Ahn"},{"key":"ref12","first-page":"1244","article-title":"Embarrassingly parallel mcmc using deep invertible transformations","volume-title":"Proceedings of The 35th Uncertainty in Artificial Intelligence Conference","author":"Mesquita"},{"key":"ref13","first-page":"681","article-title":"Bayesian learning via stochastic gradient langevin dynamics","volume-title":"Proc. 28th Int. Conf. Mach. Learn.","author":"Welling"},{"key":"ref14","doi-asserted-by":"crossref","DOI":"10.1561\/9781680832198","article-title":"Patterns of scalable bayesian inference","author":"Angelino","year":"2016"},{"article-title":"Variational federated multi-task learning","year":"2019","author":"Corinzia","key":"ref15"},{"article-title":"Partitioned variational inference: A unified framework encompassing federated and continual learning","year":"2018","author":"Bui","key":"ref16"},{"article-title":"Federated generalized bayesian learning via distributed stein variational gradient descent","year":"2020","author":"Kassab","key":"ref17"},{"key":"ref18","first-page":"2378","article-title":"Stein variational gradient descent: A general purpose bayesian inference algorithm","volume-title":"Proc. 30th Int. Conf. Neural Inf. Process. Syst.","author":"Liu"},{"key":"ref19","first-page":"1","article-title":"Stochastic optimization with importance sampling for regularized loss minimization","volume-title":"Proc. 32nd Int. Conf. Mach. Learn.","author":"Zhao"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2020.2999606"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3015671"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.3036952"},{"key":"ref23","first-page":"1","article-title":"Expectation propagation as a way of life: A framework for bayesian inference on partitioned data","volume":"21","author":"Vehtari","year":"2020","journal-title":"J. Mach. Learn. Res."},{"key":"ref24","first-page":"21","article-title":"Generalized variational inference","volume":"1050","author":"Knoblauch","year":"2019","journal-title":"stat"},{"key":"ref25","first-page":"276","article-title":"A kernelized stein discrepancy for goodness-of-fit tests","volume-title":"Proc. 33rd Int. Conf. Mach. Learn.","author":"Liu"},{"article-title":"Nonparametric variational inference","volume-title":"Proc. 29th Int. Conf. Mach. Learn.","author":"Gershman","key":"ref26"},{"key":"ref27","first-page":"1861","article-title":"Probabilistic backpropagation for scalable learning of bayesian neural networks","volume-title":"Proc. Int. Conf.Mach. Learn.","author":"Hern\u00e1ndez-Lobato"}],"event":{"name":"2022 IEEE Globecom Workshops (GC Wkshps)","start":{"date-parts":[[2022,12,4]]},"location":"Rio de Janeiro, Brazil","end":{"date-parts":[[2022,12,8]]}},"container-title":["2022 IEEE Globecom Workshops (GC Wkshps)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10008390\/10008474\/10008503.pdf?arnumber=10008503","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,9]],"date-time":"2024-02-09T02:40:59Z","timestamp":1707446459000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10008503\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,4]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/gcwkshps56602.2022.10008503","relation":{},"subject":[],"published":{"date-parts":[[2022,12,4]]}}}