{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T15:48:43Z","timestamp":1775231323650,"version":"3.50.1"},"publisher-location":"Singapore","reference-count":17,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819691005","type":"print"},{"value":"9789819691012","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-981-96-9101-2_23","type":"book-chapter","created":{"date-parts":[[2025,7,10]],"date-time":"2025-07-10T09:49:18Z","timestamp":1752140958000},"page":"429-437","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Robust and\u00a0Privacy-Preserving Dynamic Average Consensus with\u00a0Individual Weight"],"prefix":"10.1007","author":[{"given":"Yuanyuan","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yahui","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tianqing","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mingwu","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,7,7]]},"reference":[{"key":"23_CR1","unstructured":"Spanos, D.P., Olfati-Saber, R., Murray, R.M.: Dynamic consensus on mobile networks (2005)"},{"key":"23_CR2","doi-asserted-by":"crossref","unstructured":"Freeman, R.A., Yang, P., Lynch, K.M.: Stability and convergence properties of dynamic average consensus estimators. In: Proceedings of the 45th IEEE Conference on Decision and Control, pp. 338\u2013343 (2006)","DOI":"10.1109\/CDC.2006.377078"},{"key":"23_CR3","doi-asserted-by":"crossref","unstructured":"Bai, H., Freeman, R.A., Lynch, K.M.: Robust dynamic average consensus of time-varying inputs. In: 49th IEEE Conference on Decision and Control (CDC), pp. 3104\u20133109 (2010)","DOI":"10.1109\/CDC.2010.5717485"},{"key":"23_CR4","doi-asserted-by":"crossref","unstructured":"Kia, S.S., Cort\u00e9s, J., Mart\u00ednez, S.: Singularly perturbed algorithms for dynamic average consensus. In: European Control Conference (ECC), pp. 1758\u20131763 (2013)","DOI":"10.23919\/ECC.2013.6669769"},{"key":"23_CR5","doi-asserted-by":"crossref","unstructured":"Nosrati, S., Shafiee, M., Menhaj, M.B.: Dynamic average consensus via nonlinear protocols. Automatica 48(9), 2262\u20132270 (2012). https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0005109812002853","DOI":"10.1016\/j.automatica.2012.06.031"},{"issue":"12","key":"23_CR6","doi-asserted-by":"publisher","first-page":"3169","DOI":"10.1109\/TAC.2012.2199176","volume":"57","author":"F Chen","year":"2012","unstructured":"Chen, F., Cao, Y., Ren, W.: Distributed average tracking of multiple time-varying reference signals with bounded derivatives. IEEE Trans. Autom. Control 57(12), 3169\u20133174 (2012)","journal-title":"IEEE Trans. Autom. Control"},{"issue":"11","key":"23_CR7","doi-asserted-by":"publisher","first-page":"4615","DOI":"10.1109\/TAC.2019.2901819","volume":"64","author":"J George","year":"2019","unstructured":"George, J., Freeman, R.A.: Robust dynamic average consensus algorithms. IEEE Trans. Autom. Control 64(11), 4615\u20134622 (2019)","journal-title":"IEEE Trans. Autom. Control"},{"key":"23_CR8","doi-asserted-by":"crossref","unstructured":"Chen, F., Cao, Y., Ren, W.: Distributed computation of the average of multiple time-varying reference signals. In: Proceedings of the 2011 American Control Conference, pp. 1650\u20131655 (2011)","DOI":"10.1109\/ACC.2011.5990966"},{"key":"23_CR9","doi-asserted-by":"crossref","unstructured":"Ghapani, S., Ren, W., Chen, F.: Distributed average tracking for double-integrator agents without using velocity measurements. In: American Control Conference (ACC), pp. 1445\u20131450 (2015)","DOI":"10.1109\/ACC.2015.7170936"},{"key":"23_CR10","doi-asserted-by":"crossref","unstructured":"Rahili, S., Ren, W.: Heterogeneous distributed average tracking using nonsmooth algorithms. In: American Control Conference (ACC), pp. 691\u2013696 (2017)","DOI":"10.23919\/ACC.2017.7963033"},{"key":"23_CR11","doi-asserted-by":"crossref","unstructured":"Kia, S.S., Cortes, J., Martinez, S.: Dynamic average consensus under limited control authority and privacy requirements (2014)","DOI":"10.1002\/rnc.3178"},{"key":"23_CR12","doi-asserted-by":"crossref","unstructured":"Zhang, K., Li, Z., Wang, Y., Louati, A., Chen, J.: Privacy-preserving dynamic average consensus via state decomposition: case study on multi-robot formation control. Automatica 139, 110182 (2022). https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0005109822000279","DOI":"10.1016\/j.automatica.2022.110182"},{"issue":"4","key":"23_CR13","first-page":"1490","volume":"70","author":"L Gao","year":"2023","unstructured":"Gao, L., Zhou, Y., Chen, X., Cai, R., Chen, G., Li, C.: Privacy-preserving dynamic average consensus via random number perturbation. IEEE Trans. Circuits Syst. II Express Briefs 70(4), 1490\u20131494 (2023)","journal-title":"IEEE Trans. Circuits Syst. II Express Briefs"},{"key":"23_CR14","doi-asserted-by":"crossref","unstructured":"Li, Q., Gundersen, J.S., Lopuha\u00e4-Zwakenberg, M., Heusdens, R.: Adaptive differentially quantized subspace perturbation (ADQSP): a unified framework for privacy-preserving distributed average consensus. IEEE Trans. Inf. Forensics Secur. (2023)","DOI":"10.1109\/TIFS.2023.3343599"},{"key":"23_CR15","doi-asserted-by":"crossref","unstructured":"Yao, A.C.: Protocols for secure computations. In: 23rd Annual Symposium on Foundations of Computer Science (SFCS 1982), pp. 160\u2013164 (1982)","DOI":"10.1109\/SFCS.1982.38"},{"key":"23_CR16","doi-asserted-by":"crossref","unstructured":"Rathee, D., Rathee, M., Kumar, N., Chandran, N., Sharma, R.: Cryptflow2: practical 2-party secure inference. ACM (2020)","DOI":"10.1145\/3372297.3417274"},{"issue":"7","key":"23_CR17","first-page":"2578","volume":"68","author":"K Xu","year":"2021","unstructured":"Xu, K., Gao, L., Chen, F., Li, C., Xuan, Q.: Robust finite-time dynamic average consensus with exponential convergence rates. IEEE Trans. Circuits Syst. II Express Briefs 68(7), 2578\u20132582 (2021)","journal-title":"IEEE Trans. Circuits Syst. II Express Briefs"}],"container-title":["Lecture Notes in Computer Science","Information Security and Privacy"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-9101-2_23","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T14:55:46Z","timestamp":1775228146000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-9101-2_23"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9789819691005","9789819691012"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-9101-2_23","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"7 July 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ACISP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Australasian Conference on Information Security and Privacy","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Wollongong, NSW","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":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 July 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 July 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"acisp2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/uow-ic2.github.io\/acisp2025\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}