{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:46:57Z","timestamp":1750308417855,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":13,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,11,16]],"date-time":"2020-11-16T00:00:00Z","timestamp":1605484800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"\u00d6sterreichische Forschungsf\u00f6rderungsgesellschaft","award":["872039"],"award-info":[{"award-number":["872039"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,11,16]]},"DOI":"10.1145\/3384419.3430566","type":"proceedings-article","created":{"date-parts":[[2020,11,25]],"date-time":"2020-11-25T02:16:27Z","timestamp":1606270587000},"page":"813-814","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Privacy-preserving machine learning for time series data"],"prefix":"10.1145","author":[{"given":"Franz","family":"Papst","sequence":"first","affiliation":[{"name":"Graz University of Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2020,11,16]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"crossref","unstructured":"P. Brockwell and R. Davis. 2016. Introduction to Time Series and Forecasting (third ed.). Springer International Publishing.  P. Brockwell and R. Davis. 2016. Introduction to Time Series and Forecasting (third ed.). Springer International Publishing.","DOI":"10.1007\/978-3-319-29854-2"},{"volume-title":"Automata, Languages and Programming","author":"Dwork C.","key":"e_1_3_2_1_2_1"},{"key":"e_1_3_2_1_3_1","unstructured":"I. Goodfellow J. Pouget-Abadie M. Mirza B. Xu D. Warde-Farley S. Ozair A. Courville and Y. Bengio. 2014. Generative Adversarial Nets. In Advances in Neural Information Processing Systems 27. 2672--2680.  I. Goodfellow J. Pouget-Abadie M. Mirza B. Xu D. Warde-Farley S. Ozair A. Courville and Y. Bengio. 2014. Generative Adversarial Nets. In Advances in Neural Information Processing Systems 27. 2672--2680."},{"key":"e_1_3_2_1_4_1","unstructured":"F. Grandl J. Kofler M. Suntinger P. Majcen M. Mayerhofer F. Papst O. Saukh M. Fallast A. Turkaspa F. Steininger K. Linke J. Duda T. Wittek F.J. Auer and C. Egger-Danner. 2019. Opportunities and Challenges of New Technologies for Performance Recording with Focus on Claw Health and Metabolism. In New Traits and Adding Value to the Recording and ID Services in the Animal Production. Proceedings of the 43rd ICAR Conference (ICAR Technical Series) Vol. 24.  F. Grandl J. Kofler M. Suntinger P. Majcen M. Mayerhofer F. Papst O. Saukh M. Fallast A. Turkaspa F. Steininger K. Linke J. Duda T. Wittek F.J. Auer and C. Egger-Danner. 2019. Opportunities and Challenges of New Technologies for Performance Recording with Focus on Claw Health and Metabolism. In New Traits and Adding Value to the Recording and ID Services in the Animal Production. Proceedings of the 43rd ICAR Conference (ICAR Technical Series) Vol. 24."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"crossref","unstructured":"O. Gupta and R. Raskar. 2018. Distributed Learning of Deep Neural Network over Multiple Agents. Journal of Network and Computer Applications 116 (2018).  O. Gupta and R. Raskar. 2018. Distributed Learning of Deep Neural Network over Multiple Agents. Journal of Network and Computer Applications 116 (2018).","DOI":"10.1016\/j.jnca.2018.05.003"},{"key":"e_1_3_2_1_6_1","unstructured":"D. Kingma and M. Welling. 2014. Auto-Encoding Variational Bayes. arXiv:1312.6114 (2014).  D. Kingma and M. Welling. 2014. Auto-Encoding Variational Bayes. arXiv:1312.6114 (2014)."},{"volume-title":"Security and Privacy Challenges in the Internet of Things. Electronic Communications of the EASST 17","year":"2009","author":"Mayer C.","key":"e_1_3_2_1_7_1"},{"key":"e_1_3_2_1_8_1","unstructured":"H. B. McMahan E. Moore D. Ramage S. Hampson and B.A. Arcas. 2016. Communication-Efficient Learning of Deep Networks from Decentralized Data. arXiv:1602.05629 [cs] (2016). arXiv:1602.05629  H. B. McMahan E. Moore D. Ramage S. Hampson and B.A. Arcas. 2016. Communication-Efficient Learning of Deep Networks from Decentralized Data. arXiv:1602.05629 [cs] (2016). arXiv:1602.05629"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2008.33"},{"volume-title":"Proceedings of the 9th International Conference on the Internet of Things (IoT '19)","author":"Papst F.","key":"e_1_3_2_1_10_1"},{"key":"e_1_3_2_1_11_1","unstructured":"F. Papst N. Stricker A. Oberegger and O. Saukh. 2020. On Location Privacy in Shared Sensor Data. To be submitted.  F. Papst N. Stricker A. Oberegger and O. Saukh. 2020. On Location Privacy in Shared Sensor Data. To be submitted."},{"volume-title":"Proceedings of the 18th ACM Conference on Embedded Networked Sensor Systems (SenSys '20)","author":"Papst F.","key":"e_1_3_2_1_12_1"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1748-720X.1997.tb01885.x"}],"event":{"name":"SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems","sponsor":["SIGMETRICS ACM Special Interest Group on Measurement and Evaluation","SIGCOMM ACM Special Interest Group on Data Communication","SIGMOBILE ACM Special Interest Group on Mobility of Systems, Users, Data and Computing","SIGOPS ACM Special Interest Group on Operating Systems","SIGBED ACM Special Interest Group on Embedded Systems","SIGARCH ACM Special Interest Group on Computer Architecture"],"location":"Virtual Event Japan","acronym":"SenSys '20"},"container-title":["Proceedings of the 18th Conference on Embedded Networked Sensor Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3384419.3430566","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3384419.3430566","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T17:49:18Z","timestamp":1750268958000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3384419.3430566"}},"subtitle":["PhD forum abstract"],"short-title":[],"issued":{"date-parts":[[2020,11,16]]},"references-count":13,"alternative-id":["10.1145\/3384419.3430566","10.1145\/3384419"],"URL":"https:\/\/doi.org\/10.1145\/3384419.3430566","relation":{},"subject":[],"published":{"date-parts":[[2020,11,16]]},"assertion":[{"value":"2020-11-16","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}