{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,28]],"date-time":"2025-11-28T12:35:08Z","timestamp":1764333308320,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":17,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,10,6]],"date-time":"2023-10-06T00:00:00Z","timestamp":1696550400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"the SNS-JU-2022 project ADROIT6G under the European Union?s Horizon Europe research and innovation programme under Grand Agreement No. 101095363"},{"name":"the European Union under the Italian National Recovery and Resilience Plan (NRRP) of NextGenerationEU (PE00000001 - program ?RESTART?)"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,10,6]]},"DOI":"10.1145\/3615991.3616403","type":"proceedings-article","created":{"date-parts":[[2023,8,29]],"date-time":"2023-08-29T15:30:25Z","timestamp":1693323025000},"page":"180-186","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["Machine Learning Performance at the Edge: When to Offload an Inference Task"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4271-5744","authenticated-orcid":false,"given":"Olga","family":"Chukhno","sequence":"first","affiliation":[{"name":"University Mediterranea of Reggio Calabria, Reggio Calabria, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-7170-0745","authenticated-orcid":false,"given":"Gurtaj","family":"Singh","sequence":"additional","affiliation":[{"name":"University Mediterranea of Reggio Calabria, Reggio Calabria, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3281-6680","authenticated-orcid":false,"given":"Claudia","family":"Campolo","sequence":"additional","affiliation":[{"name":"University Mediterranea of Reggio Calabria, Reggio Calabria, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2731-300X","authenticated-orcid":false,"given":"Antonella","family":"Molinaro","sequence":"additional","affiliation":[{"name":"University Mediterranea of Reggio Calabria, Reggio Calabria, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1410-660X","authenticated-orcid":false,"given":"Carla Fabiana","family":"Chiasserini","sequence":"additional","affiliation":[{"name":"Politecnico di Torino, Turin, Italy"}]}],"member":"320","published-online":{"date-parts":[[2023,10,6]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.dcan.2017.10.002"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.iot.2021.100461"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.108632"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.07.045"},{"key":"e_1_3_2_1_5_1","volume-title":"To Prune, or Not to Prune: Exploring the Efficacy of Pruning for Model Compression,\" arXiv preprint arXiv:1710.01878","author":"Zhu M.","year":"2017","unstructured":"M. Zhu , \" To Prune, or Not to Prune: Exploring the Efficacy of Pruning for Model Compression,\" arXiv preprint arXiv:1710.01878 , 2017 . M. Zhu et al., \"To Prune, or Not to Prune: Exploring the Efficacy of Pruning for Model Compression,\" arXiv preprint arXiv:1710.01878, 2017."},{"key":"e_1_3_2_1_6_1","volume-title":"The State of Sparsity in Deep Neural Networks,\" arXiv preprint arXiv:1902.09574","author":"Gale T.","year":"2019","unstructured":"T. Gale , \" The State of Sparsity in Deep Neural Networks,\" arXiv preprint arXiv:1902.09574 , 2019 . T. Gale et al., \"The State of Sparsity in Deep Neural Networks,\" arXiv preprint arXiv:1902.09574, 2019."},{"key":"e_1_3_2_1_7_1","first-page":"1032","volume-title":"2022 IEEE International Conference on SMC. IEEE","author":"Zhong C.","year":"2022","unstructured":"C. Zhong A Sensitivity-based Pruning Method for Convolutional Neural Networks,\" in 2022 IEEE International Conference on SMC. IEEE , 2022 , pp. 1032 -- 1038 . C. Zhong et al., \"A Sensitivity-based Pruning Method for Convolutional Neural Networks,\" in 2022 IEEE International Conference on SMC. IEEE, 2022, pp. 1032--1038."},{"key":"e_1_3_2_1_8_1","first-page":"12569","volume-title":"Proceedings of the TEEE\/CVE conference on CVPR","author":"Kim H.","year":"2019","unstructured":"H. Kim in Proceedings of the TEEE\/CVE conference on CVPR , 2019 , pp. 12569 -- 12577 . H. Kim et al., \"Efficient Neural Network Compression,\" in Proceedings of the TEEE\/CVE conference on CVPR, 2019, pp. 12569--12577."},{"key":"e_1_3_2_1_9_1","volume-title":"Pruning Convolutional Neural Networks for Resource Efficient Inference,\" arXiv preprint arXiv:1611.06440","author":"Molchanov P.","year":"2016","unstructured":"P. Molchanov , Pruning Convolutional Neural Networks for Resource Efficient Inference,\" arXiv preprint arXiv:1611.06440 , 2016 . P. Molchanov et al., Pruning Convolutional Neural Networks for Resource Efficient Inference,\" arXiv preprint arXiv:1611.06440, 2016."},{"key":"e_1_3_2_1_10_1","volume-title":"Matching DNN Compression and Cooperative Training with Resources and Data Availability,\" arXiv preprint arXiv:2212.02304","author":"Malandrino F.","year":"2022","unstructured":"F. Malandrino , Matching DNN Compression and Cooperative Training with Resources and Data Availability,\" arXiv preprint arXiv:2212.02304 , 2022 . F. Malandrino et al., Matching DNN Compression and Cooperative Training with Resources and Data Availability,\" arXiv preprint arXiv:2212.02304, 2022."},{"key":"e_1_3_2_1_11_1","volume-title":"Tech. Rep.","author":"\"Technical Specification Group Radio Access Network;","year":"2022","unstructured":"3GPP, \"Technical Specification Group Radio Access Network; Study on channel model for frequencies from 0.5 to 100 GHz (Release 17),\" 3GPP TR 38.901 V17.0.0 , Tech. Rep. , March 2022 . 3GPP, \"Technical Specification Group Radio Access Network; Study on channel model for frequencies from 0.5 to 100 GHz (Release 17),\" 3GPP TR 38.901 V17.0.0, Tech. Rep., March 2022."},{"key":"e_1_3_2_1_12_1","first-page":"4700","volume-title":"Proceedings of the IEEE Conference on CVPR","author":"Huang G.","year":"2017","unstructured":"G. Huang in Proceedings of the IEEE Conference on CVPR , 2017 , pp. 4700 -- 4708 . G. Huang et al., Densely Connected Convolutional Networks,\" in Proceedings of the IEEE Conference on CVPR, 2017, pp. 4700--4708."},{"key":"e_1_3_2_1_13_1","volume-title":"Mobilenets: Efficient Convolutional Neural Networks for Mobile Vision Applications,\" arXiv preprint arXiv:1704.04861","author":"Howard A. G.","year":"2017","unstructured":"A. G. Howard , \" Mobilenets: Efficient Convolutional Neural Networks for Mobile Vision Applications,\" arXiv preprint arXiv:1704.04861 , 2017 . A. G. Howard et al., \"Mobilenets: Efficient Convolutional Neural Networks for Mobile Vision Applications,\" arXiv preprint arXiv:1704.04861, 2017."},{"key":"e_1_3_2_1_14_1","volume-title":"AI on the Edge: Rethinking AI-based IoT Applications Using Specialized Edge Architectures,\" arXiv preprint arXiv:2003.12488","author":"Liang Q.","year":"2020","unstructured":"Q. Liang , \" AI on the Edge: Rethinking AI-based IoT Applications Using Specialized Edge Architectures,\" arXiv preprint arXiv:2003.12488 , 2020 . Q. Liang et al., \"AI on the Edge: Rethinking AI-based IoT Applications Using Specialized Edge Architectures,\" arXiv preprint arXiv:2003.12488, 2020."},{"key":"e_1_3_2_1_15_1","volume-title":"LP603449-Standard Type Lithium Polymer Battery,\" [Online] (accessed","author":"Battery EEMB","year":"2023","unstructured":"EEMB Battery , \"Datasheet : LP603449-Standard Type Lithium Polymer Battery,\" [Online] (accessed August 17, 2023 ) https:\/\/www.eemb.com\/product-147, 2023. EEMB Battery, \"Datasheet: LP603449-Standard Type Lithium Polymer Battery,\" [Online] (accessed August 17, 2023) https:\/\/www.eemb.com\/product-147, 2023."},{"volume-title":"Lumia 950,\" [Online] (accessed","year":"2023","key":"e_1_3_2_1_16_1","unstructured":"Microsoft, \"Datasheet : Lumia 950,\" [Online] (accessed August 17, 2023 ) https:\/\/news.microsoft.com\/wp-content\/uploads\/2016\/04\/Lumia-950-Datasheet.pdf, 2023. Microsoft, \"Datasheet: Lumia 950,\" [Online] (accessed August 17, 2023) https:\/\/news.microsoft.com\/wp-content\/uploads\/2016\/04\/Lumia-950-Datasheet.pdf, 2023."},{"volume-title":"Datasheet: LiFePO4 battery,\" [Online] (accessed","year":"2023","key":"e_1_3_2_1_17_1","unstructured":"BatterySpace.com , Datasheet: LiFePO4 battery,\" [Online] (accessed August 17, 2023 ) https:\/\/www.batteryspace.com\/prod-specs\/lfp-32650%20Spec.pdf, 2023. BatterySpace.com, Datasheet: LiFePO4 battery,\" [Online] (accessed August 17, 2023) https:\/\/www.batteryspace.com\/prod-specs\/lfp-32650%20Spec.pdf, 2023."}],"event":{"name":"NET4us '23: 2nd Workshop on Networked Sensing Systems for a Sustainable Society","sponsor":["SIGMOBILE ACM Special Interest Group on Mobility of Systems, Users, Data and Computing"],"location":"Madrid Spain","acronym":"NET4us '23"},"container-title":["Proceedings of the 2nd Workshop on Networked Sensing Systems for a Sustainable Society"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3615991.3616403","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3615991.3616403","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:36:29Z","timestamp":1750178189000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3615991.3616403"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,6]]},"references-count":17,"alternative-id":["10.1145\/3615991.3616403","10.1145\/3615991"],"URL":"https:\/\/doi.org\/10.1145\/3615991.3616403","relation":{},"subject":[],"published":{"date-parts":[[2023,10,6]]},"assertion":[{"value":"2023-10-06","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}