{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T02:44:31Z","timestamp":1778121871985,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":18,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,10,7]],"date-time":"2019-10-07T00:00:00Z","timestamp":1570406400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100000185","name":"Defense Advanced Research Projects Agency","doi-asserted-by":"publisher","award":["HR00111910001"],"award-info":[{"award-number":["HR00111910001"]}],"id":[{"id":"10.13039\/100000185","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,10,7]]},"DOI":"10.1145\/3349614.3356022","type":"proceedings-article","created":{"date-parts":[[2019,10,11]],"date-time":"2019-10-11T15:16:45Z","timestamp":1570807005000},"page":"21-26","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":81,"title":["Distilled Split Deep Neural Networks for Edge-Assisted Real-Time Systems"],"prefix":"10.1145","author":[{"given":"Yoshitomo","family":"Matsubara","sequence":"first","affiliation":[{"name":"University of California, Irvine, Irvine, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sabur","family":"Baidya","sequence":"additional","affiliation":[{"name":"University of California, Irvine, Irvine, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Davide","family":"Callegaro","sequence":"additional","affiliation":[{"name":"University of California, Irvine, Irvine, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marco","family":"Levorato","sequence":"additional","affiliation":[{"name":"University of California, Irvine, Irvine, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sameer","family":"Singh","sequence":"additional","affiliation":[{"name":"University of California, Irvine, Irvine, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2019,10,7]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Information dropout: Learning optimal representations through noisy computation","author":"Achille Alessandro","year":"2018","unstructured":"Alessandro Achille and Stefano Soatto . 2018. Information dropout: Learning optimal representations through noisy computation . IEEE Transactions on Pattern Analysis and Machine Intelligence ( 2018 ). Alessandro Achille and Stefano Soatto. 2018. Information dropout: Learning optimal representations through noisy computation. IEEE Transactions on Pattern Analysis and Machine Intelligence (2018)."},{"key":"e_1_3_2_1_2_1","volume-title":"Sixth International Conference on Learning Representations .","author":"Anil Rohan","year":"2018","unstructured":"Rohan Anil , Gabriel Pereyra , Alexandre Passos , Robert Ormandi , George E Dahl , and Geoffrey E Hinton . 2018 . Large scale distributed neural network training through online distillation . In Sixth International Conference on Learning Representations . Rohan Anil, Gabriel Pereyra, Alexandre Passos, Robert Ormandi, George E Dahl, and Geoffrey E Hinton. 2018. Large scale distributed neural network training through online distillation. In Sixth International Conference on Learning Representations ."},{"key":"e_1_3_2_1_3_1","unstructured":"Jimmy Ba and Rich Caruana. 2014. Do deep nets really need to be deep?. In Advances in neural information processing systems . 2654--2662.  Jimmy Ba and Rich Caruana. 2014. Do deep nets really need to be deep?. In Advances in neural information processing systems . 2654--2662."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/2342509.2342513"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"e_1_3_2_1_6_1","volume-title":"One-shot learning of object categories","author":"Fei-Fei Li","year":"2006","unstructured":"Li Fei-Fei , Rob Fergus , and Pietro Perona . 2006. One-shot learning of object categories . IEEE transactions on pattern analysis and machine intelligence , Vol. 28 , 4 ( 2006 ), 594--611. Li Fei-Fei, Rob Fergus, and Pietro Perona. 2006. One-shot learning of object categories. IEEE transactions on pattern analysis and machine intelligence , Vol. 28, 4 (2006), 594--611."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_8_1","first-page":"3","article-title":"Densely Connected Convolutional Networks","volume":"1","author":"Huang Gao","year":"2017","unstructured":"Gao Huang , Zhuang Liu , Laurens Van Der Maaten , and Kilian Q Weinberger . 2017 . Densely Connected Convolutional Networks . In CVPR , Vol. 1. 3 . Gao Huang, Zhuang Liu, Laurens Van Der Maaten, and Kilian Q Weinberger. 2017. Densely Connected Convolutional Networks. In CVPR, Vol. 1. 3.","journal-title":"CVPR"},{"key":"e_1_3_2_1_9_1","volume-title":"Computation Offloading for Machine Learning Web Apps in the Edge Server Environment. In 2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS) . IEEE, 1492--1499","author":"Jeong Hyuk-Jin","year":"2018","unstructured":"Hyuk-Jin Jeong , InChang Jeong , Hyeon-Jae Lee , and Soo-Mook Moon . 2018 . Computation Offloading for Machine Learning Web Apps in the Edge Server Environment. In 2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS) . IEEE, 1492--1499 . Hyuk-Jin Jeong, InChang Jeong, Hyeon-Jae Lee, and Soo-Mook Moon. 2018. Computation Offloading for Machine Learning Web Apps in the Edge Server Environment. In 2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS) . IEEE, 1492--1499."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3037697.3037698"},{"key":"e_1_3_2_1_11_1","volume-title":"Adam: A Method for Stochastic Optimization. In Third International Conference on Learning Representations .","author":"Diederik","unstructured":"Diederik P. Kingma and Jimmy Ba. 2015 . Adam: A Method for Stochastic Optimization. In Third International Conference on Learning Representations . Diederik P. Kingma and Jimmy Ba. 2015. Adam: A Method for Stochastic Optimization. In Third International Conference on Learning Representations ."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.5555\/2959355.2959378"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"e_1_3_2_1_14_1","unstructured":"Jinyu Li Rui Zhao Jui-Ting Huang and Yifan Gong. 2014. Learning small-size DNN with output-distribution-based criteria. In Fifteenth annual conference of the international speech communication association .  Jinyu Li Rui Zhao Jui-Ting Huang and Yifan Gong. 2014. Learning small-size DNN with output-distribution-based criteria. In Fifteenth annual conference of the international speech communication association ."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"e_1_3_2_1_16_1","volume-title":"The case for vm-based cloudlets in mobile computing","author":"Satyanarayanan Mahadev","year":"2009","unstructured":"Mahadev Satyanarayanan , Victor Bahl , Ram\u00f3n Caceres , and Nigel Davies . 2009. The case for vm-based cloudlets in mobile computing . IEEE pervasive Computing ( 2009 ). Mahadev Satyanarayanan, Victor Bahl, Ram\u00f3n Caceres, and Nigel Davies. 2009. The case for vm-based cloudlets in mobile computing. IEEE pervasive Computing (2009)."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"e_1_3_2_1_18_1","volume-title":"Fifth International Conference on Learning Representations .","author":"Urban Gregor","year":"2017","unstructured":"Gregor Urban , Krzysztof J Geras , Samira Ebrahimi Kahou , Ozlem Aslan , Shengjie Wang , Rich Caruana , Abdelrahman Mohamed , Matthai Philipose , and Matt Richardson . 2017 . Do deep convolutional nets really need to be deep and convolutional? . In Fifth International Conference on Learning Representations . Gregor Urban, Krzysztof J Geras, Samira Ebrahimi Kahou, Ozlem Aslan, Shengjie Wang, Rich Caruana, Abdelrahman Mohamed, Matthai Philipose, and Matt Richardson. 2017. Do deep convolutional nets really need to be deep and convolutional?. In Fifth International Conference on Learning Representations ."}],"event":{"name":"MobiCom '19: The 25th Annual International Conference on Mobile Computing and Networking","location":"Los Cabos Mexico","acronym":"MobiCom '19","sponsor":["SIGMOBILE ACM Special Interest Group on Mobility of Systems, Users, Data and Computing"]},"container-title":["Proceedings of the 2019 Workshop on Hot Topics in Video Analytics and Intelligent Edges"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3349614.3356022","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3349614.3356022","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:23:19Z","timestamp":1750202599000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3349614.3356022"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,10,7]]},"references-count":18,"alternative-id":["10.1145\/3349614.3356022","10.1145\/3349614"],"URL":"https:\/\/doi.org\/10.1145\/3349614.3356022","relation":{},"subject":[],"published":{"date-parts":[[2019,10,7]]},"assertion":[{"value":"2019-10-07","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}