{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T06:46:57Z","timestamp":1762325217454,"version":"3.37.3"},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100000780","name":"European Commission","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003407","name":"MIUR","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003407","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,12]]},"DOI":"10.1109\/globecom46510.2021.9685597","type":"proceedings-article","created":{"date-parts":[[2022,2,2]],"date-time":"2022-02-02T21:59:04Z","timestamp":1643839144000},"page":"1-6","source":"Crossref","is-referenced-by-count":7,"title":["Dynamic Ensemble Inference at the Edge"],"prefix":"10.1109","author":[{"given":"Mattia","family":"Merluzzi","sequence":"first","affiliation":[{"name":"CEA-Leti, Universit&#x00E9; Grenoble Alpes,Grenoble,France,F-38000"}]},{"given":"Alessio","family":"Martino","sequence":"additional","affiliation":[{"name":"Italian National Research Council, ISTC-CNR,Rome,Italy,00185"}]},{"given":"Francesca","family":"Costanzo","sequence":"additional","affiliation":[{"name":"Sapienza University of Rome,DIET,Rome,Italy,00184"}]},{"given":"Paolo","family":"Di Lorenzo","sequence":"additional","affiliation":[{"name":"Sapienza University of Rome,DIET,Rome,Italy,00184"}]},{"given":"Sergio","family":"Barbarossa","sequence":"additional","affiliation":[{"name":"Sapienza University of Rome,DIET,Rome,Italy,00184"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1162\/089976600300015565"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1287\/opre.9.3.383"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TSIPN.2020.2981266"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511804441"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/775047.775151"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/1102351.1102430"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"61","DOI":"10.7551\/mitpress\/1113.003.0008","article-title":"Probabilities for SV Machines","author":"platt","year":"2000","journal-title":"Advances in Large Margin Classifiers"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-007-5018-6"},{"key":"ref18","first-page":"211","article-title":"Training stochastic model recognition algorithms as networks can lead to maximum mutual information estimation of parameters","author":"bridle","year":"1990","journal-title":"Advances in Neural Information Processing Systems 2"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-76153-9_28"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2019.2922658"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/SPAWC48557.2020.9154304"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9414740"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9054491"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.2200\/S00271ED1V01Y201006CNT007"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3066559"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MVT.2019.2921162"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/I2MTC.2015.7151267"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/VTCSpring.2016.7504435"}],"event":{"name":"GLOBECOM 2021 - 2021 IEEE Global Communications Conference","start":{"date-parts":[[2021,12,7]]},"location":"Madrid, Spain","end":{"date-parts":[[2021,12,11]]}},"container-title":["2021 IEEE Global Communications Conference (GLOBECOM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9685019\/9685006\/09685597.pdf?arnumber=9685597","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,17]],"date-time":"2024-09-17T20:13:55Z","timestamp":1726604035000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9685597\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/globecom46510.2021.9685597","relation":{},"subject":[],"published":{"date-parts":[[2021,12]]}}}