{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,25]],"date-time":"2025-06-25T10:40:02Z","timestamp":1750848002288,"version":"3.41.0"},"publisher-location":"Singapore","reference-count":17,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819687305","type":"print"},{"value":"9789819687312","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\/978-981-96-8731-2_39","type":"book-chapter","created":{"date-parts":[[2025,6,25]],"date-time":"2025-06-25T09:59:28Z","timestamp":1750845568000},"page":"410-421","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Blockchain-Based Privacy-Preserving Asynchronous Federated Learning"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6147-0637","authenticated-orcid":false,"given":"Guangshun","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-9306-804X","authenticated-orcid":false,"given":"Xiaoli","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8723-2389","authenticated-orcid":false,"given":"Junhua","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,6,21]]},"reference":[{"issue":"9","key":"39_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3560816","volume":"55","author":"W Issa","year":"2023","unstructured":"Issa, W., Moustafa, N., Turnbull, B., Sohrabi, N., Tari, Z.: Blockchain-based federated learning for securing internet of things: a comprehensive Survey. ACM Comput. Surv. 55(9), 1\u201343 (2023)","journal-title":"ACM Comput. Surv."},{"key":"39_CR2","doi-asserted-by":"crossref","unstructured":"C. Dwork, \u201cDifferential Privacy: A Survey of Results,\u201d Springer Heidelberg, pp. 1-19, 2008","DOI":"10.1007\/978-3-540-79228-4_1"},{"key":"39_CR3","first-page":"1273","volume":"54","author":"B McMahan","year":"2017","unstructured":"McMahan, B., Moore, E., Ramage, D., Hampson, S., Arcas, B.A.: Communication-efficient learning of deep networks from decentralized data. Proc. Mach. Learn. Res. 54, 1273\u20131282 (2017)","journal-title":"Proc. Mach. Learn. Res."},{"issue":"10","key":"39_CR4","doi-asserted-by":"publisher","first-page":"4229","DOI":"10.1109\/TNNLS.2019.2953131","volume":"31","author":"Y Chen","year":"2020","unstructured":"Chen, Y., Sun, X., Jin, Y.: Communication-efficient federated deep learning with layerwise asynchronous model update and temporally weighted aggregation. IEEE Trans. Neural Networks Learn. Syst. 31(10), 4229\u20134238 (2020)","journal-title":"IEEE Trans. Neural Networks Learn. Syst."},{"issue":"2","key":"39_CR5","doi-asserted-by":"publisher","first-page":"674","DOI":"10.1109\/TMC.2021.3096846","volume":"22","author":"J Liu","year":"2023","unstructured":"Liu, J., Xu, H., Wang, L., Xu, Y., Qian, C., Huang, J.: Adaptive asynchronous federated learning in resource-constrained edge computing. IEEE Trans. Mob. Comput. 22(2), 674\u2013690 (2023)","journal-title":"IEEE Trans. Mob. Comput."},{"issue":"5","key":"39_CR6","doi-asserted-by":"publisher","first-page":"5327","DOI":"10.1109\/TMC.2023.3307610","volume":"23","author":"Y Xu","year":"2024","unstructured":"Xu, Y., Ma, Z., Xu, H., Chen, S., Liu, J., Xue, Y.: FedLC: accelerating asynchronous federated learning in edge computing. IEEE Trans. Mob. Comput. 23(5), 5327\u20135343 (2024)","journal-title":"IEEE Trans. Mob. Comput."},{"key":"39_CR7","doi-asserted-by":"crossref","unstructured":"Su, N., Li, B.: \u201cAsynchronous federated unlearning,\u201d. In: IEEE INFOCOM 2023 - IEEE Conference on Computer Communications, pp. 1-10, 2023","DOI":"10.1109\/INFOCOM53939.2023.10229075"},{"key":"39_CR8","doi-asserted-by":"crossref","unstructured":"Majeed, U., Hong, C.S.: \u201cFLCHAIN: Federated learning via MEC-enabled blockchain network,\u201d 2019 20th Asia-Pacific Network Operations and Management Symposium, pp. 1-4, 2019","DOI":"10.23919\/APNOMS.2019.8892848"},{"issue":"6","key":"39_CR9","doi-asserted-by":"publisher","first-page":"5171","DOI":"10.1109\/JIOT.2020.2977383","volume":"7","author":"Y Qu","year":"2020","unstructured":"Qu, Y., Gao, L., Luan, T.H., Xiang, Y., Yu, S., Li, B.: Decentralized privacy using blockchain-enabled federated learning in fog computing. IEEE Internet Things J. 7(6), 5171\u20135183 (2020)","journal-title":"IEEE Internet Things J."},{"issue":"10","key":"39_CR10","doi-asserted-by":"publisher","first-page":"3335","DOI":"10.3390\/s21103335","volume":"21","author":"Y Liu","year":"2021","unstructured":"Liu, Y., Qu, Y., Xu, C., Hao, Z., Gu, B.: Blockchain-enabled asynchronous federated learning in edge computing. Sensors 21(10), 3335 (2021)","journal-title":"Sensors"},{"issue":"4","key":"39_CR11","doi-asserted-by":"publisher","first-page":"4298","DOI":"10.1109\/TVT.2020.2973651","volume":"69","author":"Y Lu","year":"2020","unstructured":"Lu, Y., Huang, X., Zhang, K., Maharjan, S., Zhang, Y.: Blockchain empowered asynchronous federated learning for secure data sharing in internet of vehicles. IEEE Trans. Veh. Technol. 69(4), 4298\u20134311 (2020)","journal-title":"IEEE Trans. Veh. Technol."},{"issue":"14","key":"39_CR12","doi-asserted-by":"publisher","first-page":"12112","DOI":"10.1109\/JIOT.2021.3134755","volume":"10","author":"Y Chen","year":"2023","unstructured":"Chen, Y., Li, J., Wang, F., Yue, K., Li, Y., Xing, B.: DS2PM: A data-sharing privacy protection model based on blockchain and federated learning. IEEE Internet Things J. 10(14), 12112\u201312125 (2023)","journal-title":"IEEE Internet Things J."},{"key":"39_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2023.108986","volume":"111","author":"S Deng","year":"2023","unstructured":"Deng, S., Zhang, J., Tao, L., Jiang, X., Wang, F.: LSBlocFL: A secure federated learning model combining blockchain and lightweight cryptographic solutions. Comput. Electr. Eng. 111, 108986 (2023)","journal-title":"Comput. Electr. Eng."},{"key":"39_CR14","doi-asserted-by":"crossref","unstructured":"Yu, J., Chen, R., Xu, L., Wang, D.: \u201cConcept extraction for structured text using entropy weight method,\u201d 2019 IEEE Symposium on Computers and Communications, pp. 1-6, 2019","DOI":"10.1109\/ISCC47284.2019.8969759"},{"key":"39_CR15","doi-asserted-by":"crossref","unstructured":"Li, Q., He, B., Song, D.: \u201cModel-contrastive federated learning,\u201d. In: 2021 IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 10708-10717, 2021","DOI":"10.1109\/CVPR46437.2021.01057"},{"key":"39_CR16","unstructured":"Li, T., Sahu, A.K., Zaheer, M., Sanjabi, M., Talwalkar, A., Smith, V.: \u201cFederated optimization in heterogeneous networks,\u201d. In: Proceedings of Machine Learning and Systems 2, vol. 2, pp. 429-450, 2020"},{"issue":"15","key":"39_CR17","doi-asserted-by":"publisher","first-page":"13281","DOI":"10.1109\/JIOT.2023.3262546","volume":"10","author":"X Yan","year":"2023","unstructured":"Yan, X., Miao, Y., Li, X., Choo, K., Meng, X., Deng, R.H.: Privacy-preserving asynchronous federated learning framework in distributed IoT. IEEE Internet Things J. 10(15), 13281\u201313291 (2023)","journal-title":"IEEE Internet Things J."}],"container-title":["Lecture Notes in Computer Science","Wireless Artificial Intelligent Computing Systems and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-8731-2_39","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,25]],"date-time":"2025-06-25T09:59:33Z","timestamp":1750845573000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-8731-2_39"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9789819687305","9789819687312"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-8731-2_39","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":"21 June 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"WASA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Wireless Artificial Intelligent Computing Systems and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tokyo","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Japan","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":"24 June 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 June 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"wasa2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/wasa-conference.org\/WASA2025\/index.html#","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}