{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T16:52:55Z","timestamp":1784134375962,"version":"3.55.0"},"reference-count":54,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2022,2,1]],"date-time":"2022-02-01T00:00:00Z","timestamp":1643673600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,2,1]],"date-time":"2022-02-01T00:00:00Z","timestamp":1643673600000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,2,1]],"date-time":"2022-02-01T00:00:00Z","timestamp":1643673600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,2,1]],"date-time":"2022-02-01T00:00:00Z","timestamp":1643673600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["CCF-1704624"],"award-info":[{"award-number":["CCF-1704624"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["NeTS 1817205"],"award-info":[{"award-number":["NeTS 1817205"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Sel. Areas Commun."],"published-print":{"date-parts":[[2022,2]]},"DOI":"10.1109\/jsac.2021.3118412","type":"journal-article","created":{"date-parts":[[2021,10,10]],"date-time":"2021-10-10T12:32:30Z","timestamp":1633869150000},"page":"548-561","source":"Crossref","is-referenced-by-count":5,"title":["Over-the-Air Statistical Estimation"],"prefix":"10.1109","volume":"40","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6961-3329","authenticated-orcid":false,"given":"Chuan-Zheng","family":"Lee","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, Stanford University, Stanford, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Leighton Pate","family":"Barnes","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Princeton University, Princeton, NJ, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ayfer","family":"\u00d6zg\u00fcr","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Stanford University, Stanford, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","first-page":"2328","article-title":"Information-theoretic lower bounds for distributed statistical estimation with communication constraints","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Zhang"},{"key":"ref2","first-page":"2726","article-title":"On communication cost of distributed statistical estimation and dimensionality","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Garg"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/2897518.2897582"},{"key":"ref4","first-page":"6394","article-title":"Communication-efficient distributed learning of discrete probability distributions","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Diakonikolas"},{"key":"ref5","first-page":"3","article-title":"Inference under information constraints: Lower bounds from chi-square contraction","volume-title":"Proc. 32nd Conf. Learn. Theory","volume":"99","author":"Acharya"},{"issue":"236","key":"ref6","first-page":"1","article-title":"Lower bounds for learning distributions under communication constraints via Fisher information","volume":"21","author":"Barnes","year":"2020","journal-title":"J. Mach. Learn. Res."},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT45174.2021.9518061"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2020.2981904"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.2974748"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2021.3103874"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2020.2989580"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM42002.2020.9322580"},{"key":"ref13","article-title":"Over-the-air federated learning from heterogeneous data","author":"Sery","year":"2020","journal-title":"arXiv:2009.12787"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2946245"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2018.2876344"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/PIMRC.2019.8904164"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2961673"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3002925"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT44484.2020.9174426"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/SPAWC48557.2020.9154309"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/JSAIT.2020.3039461"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.3036948"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/IPSN.2005.1440943"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-36978-3_11"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2008.929967"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2007.906762"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2011.2160302"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2007.896019"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2007.904835"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2005.847692"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2005.863009"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2006.874366"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2016.2611838"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.2993703"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2020.2970338"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2018.2843321"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2020.2996194"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2018.2871070"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2994596"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3038407"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM42002.2020.9322254"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2021.3087594"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.001.1900649"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICCWorkshops49005.2020.9145260"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2019.8737464"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3042530"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3024629"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/JSAIT.2020.3042094"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1002\/0471200611"},{"key":"ref50","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. Mach. Learn. Res.","volume":"54","author":"McMahan"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT45174.2021.9518157"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/b98854"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2021.3108952"},{"key":"ref54","first-page":"3312","article-title":"Breaking the communication-privacy-accuracy trilemma","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Chen"}],"container-title":["IEEE Journal on Selected Areas in Communications"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/49\/9681825\/9563940-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/49\/9681825\/09563940.pdf?arnumber=9563940","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,25]],"date-time":"2025-08-25T20:46:06Z","timestamp":1756154766000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9563940\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,2]]},"references-count":54,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/jsac.2021.3118412","relation":{},"ISSN":["1558-0008","0733-8716"],"issn-type":[{"value":"1558-0008","type":"electronic"},{"value":"0733-8716","type":"print"}],"subject":[],"published":{"date-parts":[[2022,2]]}}}