{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T16:11:06Z","timestamp":1761581466881,"version":"3.41.0"},"publisher-location":"Berlin, Heidelberg","reference-count":29,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783662534250"},{"type":"electronic","value":"9783662534267"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","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":[[2016]]},"DOI":"10.1007\/978-3-662-53426-7_30","type":"book-chapter","created":{"date-parts":[[2016,9,3]],"date-time":"2016-09-03T08:49:15Z","timestamp":1472892555000},"page":"414-427","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["Non-Bayesian Learning in the Presence of Byzantine Agents"],"prefix":"10.1007","author":[{"given":"Lili","family":"Su","sequence":"first","affiliation":[]},{"given":"Nitin H.","family":"Vaidya","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,9,4]]},"reference":[{"issue":"11","key":"30_CR1","doi-asserted-by":"publisher","first-page":"5987","DOI":"10.1109\/TSP.2012.2210885","volume":"60","author":"D Bajovic","year":"2012","unstructured":"Bajovic, D., Jakovetic, D., Moura, J.M., Xavier, J., Sinopoli, B.: Large deviations performance of consensus+ innovations distributed detection with non-gaussian observations. IEEE Trans. Signal Process. 60(11), 5987\u20136002 (2012)","journal-title":"IEEE Trans. Signal Process."},{"issue":"5","key":"30_CR2","doi-asserted-by":"publisher","first-page":"1917","DOI":"10.1109\/TSP.2011.2107902","volume":"59","author":"FS Cattivelli","year":"2011","unstructured":"Cattivelli, F.S., Sayed, A.H.: Distributed detection over adaptive networks using diffusion adaptation. IEEE Trans. Signal Process. 59(5), 1917\u20131932 (2011)","journal-title":"IEEE Trans. Signal Process."},{"issue":"2","key":"30_CR3","doi-asserted-by":"publisher","first-page":"407","DOI":"10.1109\/TSP.2002.806982","volume":"51","author":"J-F Chamberland","year":"2003","unstructured":"Chamberland, J.-F., Veeravalli, V.V.: Decentralized detection in sensor networks. IEEE Trans. Signal Process. 51(2), 407\u2013416 (2003)","journal-title":"IEEE Trans. Signal Process."},{"issue":"3","key":"30_CR4","doi-asserted-by":"publisher","first-page":"499","DOI":"10.1145\/5925.5931","volume":"33","author":"D Dolev","year":"1986","unstructured":"Dolev, D., Lynch, N.A., Pinter, S.S., Stark, E.W., Weihl, W.E.: Reaching approximate agreement in the presence of faults. J. ACM 33(3), 499\u2013516 (1986)","journal-title":"J. ACM"},{"issue":"1","key":"30_CR5","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1007\/BF01783662","volume":"4","author":"AD Fekete","year":"1990","unstructured":"Fekete, A.D.: Asymptotically optimal algorithms for approximate agreement. Distrib. Comput. 4(1), 9\u201329 (1990)","journal-title":"Distrib. Comput."},{"issue":"2","key":"30_CR6","doi-asserted-by":"publisher","first-page":"329","DOI":"10.1016\/S0899-8256(03)00144-1","volume":"45","author":"D Gale","year":"2003","unstructured":"Gale, D., Kariv, S.: Bayesian learning in social networks. Games Econ. Behav. 45(2), 329\u2013346 (2003)","journal-title":"Games Econ. Behav."},{"key":"30_CR7","doi-asserted-by":"crossref","unstructured":"Hajnal, J., Bartlett, M.: Weak ergodicity in non-homogeneous markov chains. In: Mathematical Proceedings of the Cambridge Philosophical Society, vol. 54, pp. 233\u2013246. Cambridge University Press (1958)","DOI":"10.1017\/S0305004100033399"},{"issue":"1","key":"30_CR8","doi-asserted-by":"publisher","first-page":"210","DOI":"10.1016\/j.geb.2012.06.001","volume":"76","author":"A Jadbabaie","year":"2012","unstructured":"Jadbabaie, A., Molavi, P., Sandroni, A., Tahbaz-Salehi, A.: Non-bayesian social learning. Games Econ. Behav. 76(1), 210\u2013225 (2012)","journal-title":"Games Econ. Behav."},{"key":"30_CR9","doi-asserted-by":"crossref","unstructured":"Jadbabaie, A., Molavi, P., Tahbaz-Salehi, A.: Information heterogeneity and the speed of learning in social networks. Columbia Business School Research Paper, (13\u201328) (2013)","DOI":"10.2139\/ssrn.2266979"},{"issue":"8","key":"30_CR10","doi-asserted-by":"publisher","first-page":"4306","DOI":"10.1109\/TSP.2012.2197395","volume":"60","author":"D Jakovetic","year":"2012","unstructured":"Jakovetic, D., Moura, J.M., Xavier, J.: Distributed detection over noisy networks: large deviations analysis. IEEE Trans. Signal Process. 60(8), 4306\u20134320 (2012)","journal-title":"IEEE Trans. Signal Process."},{"key":"30_CR11","doi-asserted-by":"crossref","unstructured":"Lalitha, A., Sarwate, A., Javidi, T.: Social learning and distributed hypothesis testing. In: IEEE International Symposium on Information Theory, pp. 551\u2013555. IEEE (2014)","DOI":"10.1109\/ISIT.2014.6874893"},{"key":"30_CR12","unstructured":"Lynch, N.A.: Distributed Algorithms. Morgan Kaufmann, San Francisco (1996)"},{"key":"30_CR13","doi-asserted-by":"crossref","unstructured":"Mendes, H., Herlihy, M.: Multidimensional approximate agreement in Byzantine asynchronous systems. In: Proceedings of the Forty-fifth Annual ACM Symposium on Theory of Computing, STOC 2013, pp. 391\u2013400. ACM, New York (2013)","DOI":"10.1145\/2488608.2488657"},{"key":"30_CR14","doi-asserted-by":"crossref","unstructured":"Molavi, P., Tahbaz-Salehi, A., Jadbabaie, A.: Foundations of non-bayesian social learning. Columbia Business School Research Paper (2015)","DOI":"10.2139\/ssrn.2683607"},{"key":"30_CR15","doi-asserted-by":"crossref","unstructured":"Nedic, A., Olshevsky, A., Uribe, C.A.: Nonasymptotic convergence rates for cooperative learning over time-varying directed graphs. ArXiv e-prints 1410.1977 (2014)","DOI":"10.1109\/ACC.2015.7172262"},{"issue":"2","key":"30_CR16","doi-asserted-by":"publisher","first-page":"228","DOI":"10.1145\/322186.322188","volume":"27","author":"M Pease","year":"1980","unstructured":"Pease, M., Shostak, R., Lamport, L.: Reaching agreement in the presence of faults. J. ACM 27(2), 228\u2013234 (1980)","journal-title":"J. ACM"},{"key":"30_CR17","unstructured":"Perles, M.A., Sigron, M.: A generalization of tverberg\u2019s theorem. ArXiv e-prints 0710.4668 (2007)"},{"key":"30_CR18","doi-asserted-by":"crossref","unstructured":"Rad, K.R., Tahbaz-Salehi, A.: Distributed parameter estimation in networks. In: 49th IEEE Conference on Decision and Control (CDC), pp. 5050\u20135055. IEEE (2010)","DOI":"10.1109\/CDC.2010.5717946"},{"key":"30_CR19","doi-asserted-by":"crossref","unstructured":"Shahrampour, S., Jadbabaie, A.: Exponentially fast parameter estimation in networks using distributed dual averaging. In: 52nd IEEE Conference on Decision and Control, pp. 6196\u20136201. IEEE (2013)","DOI":"10.1109\/CDC.2013.6760868"},{"key":"30_CR20","unstructured":"Shahrampour, S., Rakhlin, A., Jadbabaie, A.: Distributed detection: finite-time analysis and impact of network topology (2014)"},{"key":"30_CR21","doi-asserted-by":"crossref","unstructured":"Shahrampour, S., Rakhlin, A., Jadbabaie, A.: Finite-time analysis of the distributed detection problem. In: 2015 53rd Annual Allerton Conference on Communication, Control, and Computing (Allerton), pp. 598\u2013603. IEEE (2015)","DOI":"10.1109\/ALLERTON.2015.7447059"},{"key":"30_CR22","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1007\/978-3-319-21741-3_2","volume-title":"Stabilization, Safety, and Security of Distributed Systems","author":"L Su","year":"2015","unstructured":"Su, L., Vaidya, N.: Reaching approximate Byzantine consensus with multi-hop communication. In: Pelc, A., Schwarzmann, A.A. (eds.) SSS 2015. LNCS, vol. 9212, pp. 21\u201335. Springer, Heidelberg (2015)"},{"key":"30_CR23","unstructured":"Su, L., Vaidya, N.H.: Defending non-Bayesian learning against adversarial attacks. ArXiv e-prints, June 2016"},{"issue":"2","key":"30_CR24","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1007\/BF02551407","volume":"1","author":"JN Tsitsiklis","year":"1988","unstructured":"Tsitsiklis, J.N.: Decentralized detection by a large number of sensors. Math. Control Signals Syst. 1(2), 167\u2013182 (1988)","journal-title":"Math. Control Signals Syst."},{"key":"30_CR25","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1007\/978-3-642-45249-9_2","volume-title":"Distributed Computing and Networking","author":"NH Vaidya","year":"2014","unstructured":"Vaidya, N.H.: Iterative Byzantine vector consensus in incomplete graphs. In: Chatterjee, M., Cao, J., Kothapalli, K., Rajsbaum, S. (eds.) ICDCN 2014. LNCS, vol. 8314, pp. 14\u201328. Springer, Heidelberg (2014)"},{"key":"30_CR26","doi-asserted-by":"crossref","unstructured":"Vaidya, N.H., Garg, V.K.: Byzantine vector consensus in complete graphs. In: Proceedings of the ACM Symposium on Principles of Distributed Computing, PODC 2013, pp. 65\u201373. ACM, New York (2013)","DOI":"10.1145\/2484239.2484256"},{"key":"30_CR27","doi-asserted-by":"crossref","unstructured":"Vaidya, N.H., Tseng, L., Liang, G.: Iterative approximate Byzantine consensus in arbitrary directed graphs. In: Proceedings of the ACM Symposium on Principles of Distributed Computing, pp. 365\u2013374. ACM (2012)","DOI":"10.1145\/2332432.2332505"},{"key":"30_CR28","doi-asserted-by":"crossref","unstructured":"Varshney, P.K.: Distributed bayesian detection: Parallel fusion network. In: Distributed Detection and Data Fusion, pp. 36\u2013118. Springer, New York (1997)","DOI":"10.1007\/978-1-4612-1904-0_3"},{"issue":"5","key":"30_CR29","doi-asserted-by":"publisher","first-page":"733","DOI":"10.1090\/S0002-9939-1963-0154756-3","volume":"14","author":"J Wolfowitz","year":"1963","unstructured":"Wolfowitz, J.: Products of indecomposable, aperiodic, stochastic matrices. Proc. Am. Math. Soc. 14(5), 733\u2013737 (1963)","journal-title":"Proc. Am. Math. Soc."}],"container-title":["Lecture Notes in Computer Science","Distributed Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-662-53426-7_30","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,10]],"date-time":"2025-06-10T16:42:48Z","timestamp":1749573768000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-662-53426-7_30"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783662534250","9783662534267"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-3-662-53426-7_30","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]},"assertion":[{"value":"4 September 2016","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DISC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Symposium on Distributed Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Paris","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"France","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2016","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 September 2016","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 September 2016","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":"wdag2016","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}