{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T11:07:47Z","timestamp":1725707267513},"reference-count":5,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,12,16]],"date-time":"2020-12-16T00:00:00Z","timestamp":1608076800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,12,16]],"date-time":"2020-12-16T00:00:00Z","timestamp":1608076800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,12,16]],"date-time":"2020-12-16T00:00:00Z","timestamp":1608076800000},"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":[[2020,12,16]]},"DOI":"10.1109\/vnc51378.2020.9318419","type":"proceedings-article","created":{"date-parts":[[2021,1,20]],"date-time":"2021-01-20T16:09:27Z","timestamp":1611158967000},"page":"1-2","source":"Crossref","is-referenced-by-count":1,"title":["Poster: Mobile Gossip Learning for Trajectory Prediction"],"prefix":"10.1109","author":[{"given":"Mina Aghaei","family":"Dinani","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Adrian","family":"Holzer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hung","family":"Nguyen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marco Ajmone","family":"Marsan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gianluca","family":"Rizzo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"journal-title":"Deep Learning with Python and Keras The practical manual from the developer of the Keras library","year":"2018","author":"chollet","key":"ref4"},{"key":"ref3","first-page":"35","author":"varga","year":"2010","journal-title":"OMNet++"},{"key":"ref5","first-page":"1","article-title":"Luxembourg SUMO Traffic (LuST) Scenario","author":"codeca","year":"2015","journal-title":"IEEE VNC"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1958.tb00292.x"},{"journal-title":"Communication-efficient learning of deep networks from decentralized data","year":"2016","author":"mcmahan","key":"ref1"}],"event":{"name":"2020 IEEE Vehicular Networking Conference (VNC)","start":{"date-parts":[[2020,12,16]]},"location":"New York, NY, USA","end":{"date-parts":[[2020,12,18]]}},"container-title":["2020 IEEE Vehicular Networking Conference (VNC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9318239\/9318323\/09318419.pdf?arnumber=9318419","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,30]],"date-time":"2022-06-30T11:16:03Z","timestamp":1656587763000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9318419\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12,16]]},"references-count":5,"URL":"https:\/\/doi.org\/10.1109\/vnc51378.2020.9318419","relation":{},"subject":[],"published":{"date-parts":[[2020,12,16]]}}}