{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T20:25:43Z","timestamp":1770323143284,"version":"3.49.0"},"reference-count":17,"publisher":"IEEE","license":[{"start":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T00:00:00Z","timestamp":1767916800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T00:00:00Z","timestamp":1767916800000},"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":[[2026,1,9]]},"DOI":"10.1109\/ccnc65079.2026.11366473","type":"proceedings-article","created":{"date-parts":[[2026,2,4]],"date-time":"2026-02-04T20:45:15Z","timestamp":1770237915000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["SPICE: Structured Pruning for Inference on Constrained Edge Devices"],"prefix":"10.1109","author":[{"given":"Subhransu","family":"Das","sequence":"first","affiliation":[{"name":"The Ohio State University,Department of Computer Science and Engineering,Columbus,OH,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiaming","family":"Cheng","sequence":"additional","affiliation":[{"name":"The Ohio State University,Department of Computer Science and Engineering,Columbus,OH,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aniruddha","family":"Rakshit","sequence":"additional","affiliation":[{"name":"Binghamton University,School of Computing,Binghamton,NY,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Brijesh","family":"Soni","sequence":"additional","affiliation":[{"name":"The Ohio State University,Department of Computer Science and Engineering,Columbus,OH,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jayson","family":"Boubin","sequence":"additional","affiliation":[{"name":"Binghamton University,School of Computing,Binghamton,NY,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rajiv","family":"Ramnath","sequence":"additional","affiliation":[{"name":"The Ohio State University,Department of Computer Science and Engineering,Columbus,OH,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2022.3226481"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3090981"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671536"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-018-38343-3"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2946140"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/PIMRC56721.2023.10293996"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CCNC54725.2025.10975989"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1802.02611"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00656"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_38"},{"key":"ref12","first-page":"6105","article-title":"Efficientnet: Rethinking model scaling for convolutional neural networks","volume-title":"International conference on machine learning","author":"Tan"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01544"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01152"},{"key":"ref15","article-title":"Snip: Single-shot network pruning based on connection sensitivity","author":"Lee","year":"2018"},{"key":"ref16","article-title":"Rl-pruner: Structured pruning using reinforcement learning for cnn compression and acceleration","author":"Wang","year":"2024"},{"key":"ref17","first-page":"6377","article-title":"Pruning neural networks without any data by iteratively conserving synaptic flow","volume":"33","author":"Tanaka","year":"2020","journal-title":"Advances in neural information processing systems"}],"event":{"name":"2026 IEEE 23rd Consumer Communications & Networking Conference (CCNC)","location":"Las Vegas, NV, USA","start":{"date-parts":[[2026,1,9]]},"end":{"date-parts":[[2026,1,12]]}},"container-title":["2026 IEEE 23rd Consumer Communications & Networking Conference (CCNC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11366253\/11366254\/11366473.pdf?arnumber=11366473","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T06:50:47Z","timestamp":1770274247000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11366473\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1,9]]},"references-count":17,"URL":"https:\/\/doi.org\/10.1109\/ccnc65079.2026.11366473","relation":{},"subject":[],"published":{"date-parts":[[2026,1,9]]}}}