{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T16:58:02Z","timestamp":1775667482735,"version":"3.50.1"},"reference-count":47,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,5,17]],"date-time":"2023-05-17T00:00:00Z","timestamp":1684281600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,5,17]],"date-time":"2023-05-17T00:00:00Z","timestamp":1684281600000},"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","id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,5,17]]},"DOI":"10.1109\/infocom53939.2023.10229043","type":"proceedings-article","created":{"date-parts":[[2023,8,29]],"date-time":"2023-08-29T17:40:43Z","timestamp":1693330843000},"page":"1-10","source":"Crossref","is-referenced-by-count":10,"title":["Communication-Aware DNN Pruning"],"prefix":"10.1109","author":[{"given":"Tong","family":"Jian","sequence":"first","affiliation":[{"name":"Northeastern University,Electrical and Computer Engineering Department,Boston,MA,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Debashri","family":"Roy","sequence":"additional","affiliation":[{"name":"Northeastern University,Electrical and Computer Engineering Department,Boston,MA,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Batool","family":"Salehi","sequence":"additional","affiliation":[{"name":"Northeastern University,Electrical and Computer Engineering Department,Boston,MA,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nasim","family":"Soltani","sequence":"additional","affiliation":[{"name":"Northeastern University,Electrical and Computer Engineering Department,Boston,MA,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kaushik","family":"Chowdhury","sequence":"additional","affiliation":[{"name":"Northeastern University,Electrical and Computer Engineering Department,Boston,MA,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stratis","family":"Ioannidis","sequence":"additional","affiliation":[{"name":"Northeastern University,Electrical and Computer Engineering Department,Boston,MA,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s10766-021-00712-3"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM48880.2022.9796865"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2018.2858384"},{"key":"ref34","article-title":"Autoslim: An automatic dnn structured pruning framework for ultra-high compression rates","author":"liu","year":"2019"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3358205"},{"key":"ref37","article-title":"Learning multiple layers of features from tiny images","author":"krizhevsky","year":"2009","journal-title":"Tech Rep"},{"key":"ref14","first-page":"1866","article-title":"Splitnet: Learning to semantically split deep networks for parameter reduction and model parallelization","volume":"70","author":"kim","year":"2017","journal-title":"ICML"},{"key":"ref36","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","volume":"37","author":"ioffe","year":"2015","journal-title":"ICML"},{"key":"ref31","article-title":"Adam-admm: A unified, systematic framework of structured weight pruning for dnns","author":"zhang","year":"2018"},{"key":"ref30","article-title":"Pruning Filters for Efficient ConvNets","author":"li","year":"2017","journal-title":"ICLRE"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCAD.2017.8203852"},{"key":"ref33","article-title":"Progressive weight pruning of deep neural networks using admm","author":"ye","year":"2018"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.23919\/DATE.2017.7927211"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPS53621.2022.00110"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s11277-018-5618-4"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3390\/su13095188"},{"key":"ref17","article-title":"Paradis: Parallelly distributable slimmable neural networks","author":"ozerov","year":"2021"},{"key":"ref39","article-title":"Wide residual networks","author":"zagoruyko","year":"2016","journal-title":"MBVC"},{"key":"ref16","article-title":"Restructuring, pruning, and adjustment of deep models for parallel distributed inference","author":"abdi","year":"2020"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00410"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01237-3_12"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2981338"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/3143361.3143384"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3844\/jcssp.2007.94.103"},{"key":"ref45","article-title":"Deep learning on multimodal sensor data at the wireless edge for vehicular network","author":"salehihikouei","year":"2022","journal-title":"IEEE Transactions on Vehicular Technology"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.78"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/COMSNETS53615.2022.9668515"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2019.2899571"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3297858.3304076"},{"key":"ref42","article-title":"FCC Releases Rules for Innovative Spectrum Sharing in 3.5 GHz Band","year":"0"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2017.1601107"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpdc.2013.05.005"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2017.1700207"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/HCW.1998.666545"},{"key":"ref43","article-title":"Requirements for Commercial Operation in the U.S. 3550-3700 MHz Citizens Broadband Radio Service Band","year":"0"},{"key":"ref28","first-page":"742","article-title":"Learning efficient object detection models with knowledge distillation","author":"chen","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref27","article-title":"Distilling the knowledge in a neural network","author":"hinton","year":"2015"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.155"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2984887"},{"key":"ref7","article-title":"Radio frequency fingerprinting on the edge","author":"jian","year":"2021","journal-title":"IEEE Transactions on Mobile Computing"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3098051"},{"key":"ref4","first-page":"590","article-title":"Object detection and identification using vision and radar data fusion system for ground-based navigation","author":"jha","year":"2019","journal-title":"SPIN"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.23919\/ICCAS.2017.8204375"},{"key":"ref6","article-title":"Multi-modality sensing and data fusion for multi-vehicle detection","author":"roy","year":"2022","journal-title":"IEEE Transactions on Multimedia"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.2972974"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.001.2000660"}],"event":{"name":"IEEE INFOCOM 2023 - IEEE Conference on Computer Communications","location":"New York City, NY, USA","start":{"date-parts":[[2023,5,17]]},"end":{"date-parts":[[2023,5,20]]}},"container-title":["IEEE INFOCOM 2023 - IEEE Conference on Computer Communications"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10228851\/10228852\/10229043.pdf?arnumber=10229043","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,18]],"date-time":"2023-09-18T17:44:08Z","timestamp":1695059048000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10229043\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,17]]},"references-count":47,"URL":"https:\/\/doi.org\/10.1109\/infocom53939.2023.10229043","relation":{},"subject":[],"published":{"date-parts":[[2023,5,17]]}}}