{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T23:28:43Z","timestamp":1743031723112,"version":"3.40.3"},"publisher-location":"Cham","reference-count":10,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030319182"},{"type":"electronic","value":"9783030319199"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-31919-9_19","type":"book-chapter","created":{"date-parts":[[2019,9,25]],"date-time":"2019-09-25T19:09:53Z","timestamp":1569438593000},"page":"321-329","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["On-demand Privacy Preservation for Cost-Efficient Edge Intelligence Model Training"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0987-9344","authenticated-orcid":false,"given":"Zhi","family":"Zhou","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9943-6020","authenticated-orcid":false,"given":"Xu","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,9,26]]},"reference":[{"issue":"5","key":"19_CR1","first-page":"637","volume":"3","author":"W Shi","year":"2016","unstructured":"Shi, W., Cao, J., Zhang, Q., Li, Y., Xu, L.: Edge computing: vision and challenges. IEEE IoT J. 3(5), 637\u2013646 (2016)","journal-title":"IEEE IoT J."},{"key":"19_CR2","doi-asserted-by":"crossref","unstructured":"Zhou, Z., Chen, X., Li, E., Zeng, L., Luo, K., Zhang, J.: Edge intelligence: paving the last mile of artificial intelligence with edge computing. Proc. IEEE (2019)","DOI":"10.1109\/JPROC.2019.2918951"},{"key":"19_CR3","doi-asserted-by":"crossref","unstructured":"Li, E., Zhou, Z., Chen, X.: Edge intelligence: on-demand deep learning model co-inference with device-edge synergy. In: Proceedings of ACM MECOMM (2018)","DOI":"10.1145\/3229556.3229562"},{"key":"19_CR4","doi-asserted-by":"crossref","unstructured":"Kang, Y., et al.: Neurosurgeon: collaborative intelligence between the cloud and mobile edge. In: Proceedings of ACM ASPLOS (2017)","DOI":"10.1145\/3093336.3037698"},{"key":"19_CR5","doi-asserted-by":"crossref","unstructured":"Liu, S., Lin, Y., Zhou, Z., Nan, K., Liu, H., Du, J.: On-demand deep model compression for mobile devices: a usage-driven model selection framework. In: Proceedings of ACM Mobisys (2018)","DOI":"10.1145\/3210240.3210337"},{"key":"19_CR6","doi-asserted-by":"crossref","unstructured":"Guo, P., Hu, B., Li, R., Hu, W.: FoggyCache: cross-device approximate computation reuse. In: Proceedings of ACM Mobicom (2018)","DOI":"10.1145\/3241539.3241557"},{"key":"19_CR7","doi-asserted-by":"publisher","first-page":"2322","DOI":"10.1109\/COMST.2017.2745201","volume":"19","author":"Y Mao","year":"2017","unstructured":"Mao, Y., You, C., Zhang, J., Huang, K., Letaief, K.B.: A survey on mobile edge computing: the communication perspective. IEEE Commun. Surv. Tutor. 19, 2322\u20132358 (2017)","journal-title":"IEEE Commun. Surv. Tutor."},{"key":"19_CR8","first-page":"450","volume":"5","author":"N Abbas","year":"2017","unstructured":"Abbas, N., Zhang, Y., Taherkordi, A., Skeie, T.: Mobile edge computing: a survey. IEEE IoT J. 5, 450\u2013465 (2017)","journal-title":"IEEE IoT J."},{"key":"19_CR9","doi-asserted-by":"publisher","first-page":"1866","DOI":"10.1109\/JSAC.2019.2927070","volume":"37","author":"Z Zhou","year":"2019","unstructured":"Zhou, Z., Wu, Q., Chen, X.: Online orchestration of cross-edge service function chaining for cost-efficient edge computing. IEEE J. Sel. Areas Commun. 37, 1866\u20131880 (2019)","journal-title":"IEEE J. Sel. Areas Commun."},{"key":"19_CR10","doi-asserted-by":"publisher","DOI":"10.2200\/S00271ED1V01Y201006CNT007","volume-title":"Stochastic Network Optimization with Application to Communication and Queueing Systems","author":"MJ Neely","year":"2010","unstructured":"Neely, M.J.: Stochastic Network Optimization with Application to Communication and Queueing Systems. Morgan & Claypool, San Rafael (2010)"}],"container-title":["Lecture Notes in Computer Science","Provable Security"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-31919-9_19","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,11,13]],"date-time":"2019-11-13T15:04:48Z","timestamp":1573657488000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-31919-9_19"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030319182","9783030319199"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-31919-9_19","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"26 September 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ProvSec","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Provable Security","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cairns, QLD","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Australia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 October 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 October 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"provsec2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.monash.edu\/provsec2019","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"51","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"18","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"6","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"35% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2,882","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2,579","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}