{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T21:35:31Z","timestamp":1769981731378,"version":"3.49.0"},"publisher-location":"Singapore","reference-count":29,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819557219","type":"print"},{"value":"9789819557226","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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":[[2026]]},"DOI":"10.1007\/978-981-95-5722-6_6","type":"book-chapter","created":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T08:14:13Z","timestamp":1769933653000},"page":"82-99","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Data-Balanced and Privacy-Preserving Incentive Mechanism for Federated Learning Based on MADRL"],"prefix":"10.1007","author":[{"given":"Jialin","family":"Guo","sequence":"first","affiliation":[]},{"given":"Zanbo","family":"Sun","sequence":"additional","affiliation":[]},{"given":"Shuai","family":"Mu","sequence":"additional","affiliation":[]},{"given":"Zhanbin","family":"Li","sequence":"additional","affiliation":[]},{"given":"Anfeng","family":"Liu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2026,2,2]]},"reference":[{"issue":"12","key":"6_CR1","doi-asserted-by":"publisher","first-page":"12848","DOI":"10.1109\/TMC.2024.3419170","volume":"23","author":"Y Fu","year":"2024","unstructured":"Fu, Y., Wang, S., Zhong, L., Chen, L., Ren, J., Zhang, Y.: UltraSR: silent speech reconstruction via acoustic sensing. IEEE Trans. Mob. Comput. 23(12), 12848\u201312865 (2024)","journal-title":"IEEE Trans. Mob. Comput."},{"key":"6_CR2","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2025.3548954","author":"J Guo","year":"2025","unstructured":"Guo, J., et al.: MASA: multimodal federated learning through modality-aware and secure aggregation. IEEE Trans. Mob. Comput. (2025). https:\/\/doi.org\/10.1109\/TMC.2025.3548954","journal-title":"IEEE Trans. Mob. Comput."},{"key":"6_CR3","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2025.3536318","author":"X Chen","year":"2025","unstructured":"Chen, X., et al.: An anonymous, trust and fairness based privacy preserving service construction framework in mobile crowdsourcing. IEEE Trans. Serv. Comput. (2025). https:\/\/doi.org\/10.1109\/TSC.2025.3536318","journal-title":"IEEE Trans. Serv. Comput."},{"key":"6_CR4","doi-asserted-by":"crossref","unstructured":"Deng, Y., Ren, J., Tang, C., Lyu, F., Liu, Y., Zhang, Y.: A hierarchical knowledge transfer framework for heterogeneous federated learning. In: IEEE INFOCOM 2023, pp. 1\u201310. IEEE, New York, USA (2023)","DOI":"10.1109\/INFOCOM53939.2023.10228954"},{"key":"6_CR5","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2024.3434510","author":"A Kapoor","year":"2024","unstructured":"Kapoor, A., Kumar, D.: Federated learning for urban sensing systems: a comprehensive survey on attacks, defenses, incentive mechanisms, and applications. IEEE Commun. Surv. Tutorials (2024). https:\/\/doi.org\/10.1109\/COMST.2024.3434510","journal-title":"IEEE Commun. Surv. Tutorials"},{"issue":"12","key":"6_CR6","doi-asserted-by":"publisher","first-page":"3805","DOI":"10.1109\/JSAC.2021.3118354","volume":"39","author":"P Sun","year":"2021","unstructured":"Sun, P., Che, H., Wang, Z., et al.: Pain-FL: personalized privacy-preserving incentive for federated learning. IEEE J. Sel. Areas Commun. 39(12), 3805\u20133820 (2021)","journal-title":"IEEE J. Sel. Areas Commun."},{"issue":"10","key":"6_CR7","doi-asserted-by":"publisher","first-page":"6927","DOI":"10.1109\/TII.2021.3134257","volume":"18","author":"Y Xu","year":"2021","unstructured":"Xu, Y., Xiao, M., Tan, H., et al.: Incentive mechanism for differentially private federated learning in industrial internet of things. IEEE Trans. Industr. Inf. 18(10), 6927\u20136939 (2021)","journal-title":"IEEE Trans. Industr. Inf."},{"issue":"7","key":"6_CR8","doi-asserted-by":"publisher","first-page":"6360","DOI":"10.1109\/JIOT.2020.2967772","volume":"7","author":"Y Zhan","year":"2020","unstructured":"Zhan, Y., Li, P., Qu, Z., et al.: A learning-based incentive mechanism for federated learning. IEEE Internet Things J. 7(7), 6360\u20136368 (2020)","journal-title":"IEEE Internet Things J."},{"issue":"12","key":"6_CR9","doi-asserted-by":"publisher","first-page":"9101","DOI":"10.1109\/TII.2022.3190034","volume":"18","author":"S Lu","year":"2022","unstructured":"Lu, S., Gao, Z., Xu, Q., Jiang, C., Zhang, A., Wang, X.: Class-imbalance privacy-preserving federated learning for decentralized fault diagnosis with biometric authentication. IEEE Trans. Industr. Inf. 18(12), 9101\u20139111 (2022)","journal-title":"IEEE Trans. Industr. Inf."},{"issue":"1","key":"6_CR10","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1109\/TPDS.2020.3009406","volume":"32","author":"M Duan","year":"2020","unstructured":"Duan, M., Liu, D., Chen, X., et al.: Self-balancing federated learning with global imbalanced data in mobile systems. IEEE Trans. Parallel Distrib. Syst. 32(1), 59\u201371 (2020)","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"issue":"8","key":"6_CR11","doi-asserted-by":"publisher","first-page":"2818","DOI":"10.1109\/TMC.2020.3045266","volume":"21","author":"Q Wu","year":"2020","unstructured":"Wu, Q., Chen, X., Zhou, Z., et al.: FedHome: cloud-edge based personalized federated learning for in-home health monitoring. IEEE Trans. Mob. Comput. 21(8), 2818\u20132832 (2020)","journal-title":"IEEE Trans. Mob. Comput."},{"issue":"10","key":"6_CR12","doi-asserted-by":"publisher","first-page":"9895","DOI":"10.1109\/JIOT.2020.2988033","volume":"7","author":"D Kwon","year":"2020","unstructured":"Kwon, D., Jeon, J., Park, S., Kim, J., Cho, S.: Multiagent DDPG-based deep learning for smart ocean federated learning IoT networks. IEEE Internet Things J. 7(10), 9895\u20139903 (2020)","journal-title":"IEEE Internet Things J."},{"issue":"3","key":"6_CR13","doi-asserted-by":"publisher","first-page":"2087","DOI":"10.1109\/TNSE.2020.3014455","volume":"8","author":"S Huang","year":"2021","unstructured":"Huang, S., Liu, A., Zhang, S., Wang, T., Xiong, N.N.: BD-VTE: a novel baseline data based verifiable trust evaluation scheme for smart network systems. IEEE Trans. Netw. Sci. Eng. 8(3), 2087\u20132105 (2021)","journal-title":"IEEE Trans. Netw. Sci. Eng."},{"issue":"6","key":"6_CR14","doi-asserted-by":"publisher","first-page":"4231","DOI":"10.1109\/TII.2019.2948068","volume":"16","author":"J Xiong","year":"2020","unstructured":"Xiong, J., et al.: A personalized privacy protection framework for mobile crowdsensing in IIoT. IEEE Trans. Industr. Inf. 16(6), 4231\u20134241 (2020)","journal-title":"IEEE Trans. Industr. Inf."},{"issue":"1","key":"6_CR15","doi-asserted-by":"publisher","first-page":"831","DOI":"10.1109\/TVT.2020.3046027","volume":"70","author":"C Zhang","year":"2021","unstructured":"Zhang, C., Zhu, L., Xu, C., Sharif, K.: PRVB: achieving privacy-preserving and reliable vehicular crowdsensing via blockchain oracle. IEEE Trans. Veh. Technol. 70(1), 831\u2013843 (2021)","journal-title":"IEEE Trans. Veh. Technol."},{"issue":"12","key":"6_CR16","first-page":"1","volume":"56","author":"J Chen","year":"2024","unstructured":"Chen, J., Yan, H., Liu, Z., et al.: When federated learning meets privacy-preserving computation. ACM Comput. Surv. 56(12), 1\u201336 (2024)","journal-title":"ACM Comput. Surv."},{"key":"6_CR17","unstructured":"Zhao, Y., Li, M., Lai, L., et al.: Federated learning with Non-IID data. arXiv preprint arXiv:1806.00582 (2018)"},{"issue":"11","key":"6_CR18","first-page":"2701","volume":"33","author":"J Guo","year":"2021","unstructured":"Guo, J., Wu, J., Liu, A., et al.: LightFed: an efficient and secure federated edge learning system on model splitting. IEEE Trans. Parallel Distrib. Syst. 33(11), 2701\u20132713 (2021)","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"key":"6_CR19","first-page":"19586","volume":"33","author":"A Ghosh","year":"2020","unstructured":"Ghosh, A., Chung, J., Yin, D., et al.: An efficient framework for clustered federated learning. Adv. Neural. Inf. Process. Syst. 33, 19586\u201319597 (2020)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"issue":"11","key":"6_CR20","first-page":"2661","volume":"33","author":"M Duan","year":"2021","unstructured":"Duan, M., Liu, D., Ji, X., et al.: Flexible clustered federated learning for client-level data distribution shift. IEEE Trans. Parallel Distrib. Syst. 33(11), 2661\u20132674 (2021)","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"issue":"4","key":"6_CR21","doi-asserted-by":"publisher","first-page":"2361","DOI":"10.1109\/TDSC.2023.3304788","volume":"21","author":"Y Miao","year":"2023","unstructured":"Miao, Y., Liu, Z., Li, X., et al.: Robust asynchronous federated learning with time-weighted and stale model aggregation. IEEE Trans. Dependable Secure Comput. 21(4), 2361\u20132375 (2023)","journal-title":"IEEE Trans. Dependable Secure Comput."},{"key":"6_CR22","doi-asserted-by":"crossref","unstructured":"Tran, N.H., Bao, W., Zomaya, A., et al.: Federated learning over wireless networks: optimization model design and analysis. In: IEEE INFOCOM 2019, pp: 1387\u20131395. IEEE (2019)","DOI":"10.1109\/INFOCOM.2019.8737464"},{"key":"6_CR23","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2025.3535567","author":"Y Ouyang","year":"2025","unstructured":"Ouyang, Y., Zeng, F., Xiong, N.N., et al.: MWRS: A MAB-based Worker Recruitment Scheme with Tripartite Stackelberg Game for Reliable Mobile Crowdsensing. IEEE Trans. Mob. Comput. (2025). https:\/\/doi.org\/10.1109\/TMC.2025.3535567","journal-title":"IEEE Trans. Mob. Comput."},{"issue":"9","key":"6_CR24","doi-asserted-by":"publisher","first-page":"6182","DOI":"10.1109\/TII.2020.3024611","volume":"17","author":"B Gu","year":"2021","unstructured":"Gu, B., Yang, X., Lin, Z., Hu, W., Alazab, M., Kharel, R.: Multiagent actor-critic network-based incentive mechanism for mobile crowdsensing in industrial systems. IEEE Trans. Industr. Inf. 17(9), 6182\u20136191 (2021)","journal-title":"IEEE Trans. Industr. Inf."},{"issue":"6","key":"6_CR25","doi-asserted-by":"publisher","first-page":"2836","DOI":"10.1109\/TNET.2020.3025904","volume":"28","author":"A Huyuk","year":"2020","unstructured":"Huyuk, A., Tekin, C.: Thompson sampling for combinatorial network optimization in unknown environments. IEEE\/ACM Trans. Netw. 28(6), 2836\u20132849 (2020)","journal-title":"IEEE\/ACM Trans. Netw."},{"key":"6_CR26","doi-asserted-by":"crossref","unstructured":"Fu, Y., et al.: SVoice: enabling voice communication in silence via acoustic sensing on commodity devices. In: Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, pp. 622\u2013636 (2023)","DOI":"10.1145\/3560905.3568530"},{"issue":"6","key":"6_CR27","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1109\/MSP.2012.2211477","volume":"29","author":"L Deng","year":"2012","unstructured":"Deng, L.: The MNIST database of handwritten digit images for machine learning research [best of the web]. IEEE Signal Process. Mag. 29(6), 141\u2013142 (2012)","journal-title":"IEEE Signal Process. Mag."},{"key":"6_CR28","unstructured":"McMahan B., Moore, E., Ramage, D., Hampson, S.: Communication efficient learning of deep networks from decentralized data. In: Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, vol. 54, pp. 1273\u20131282 (2017)"},{"key":"6_CR29","doi-asserted-by":"crossref","unstructured":"Zeng, R., Zhang, S., Wang, J., and Chu, X.: FMore: an incentive scheme of multi-dimensional auction for federated learning in MEC. In; IEEE 40th International Conference on Distributed Computing Systems (ICDCS), pp. 278\u2013288. IEEE (2020)","DOI":"10.1109\/ICDCS47774.2020.00094"}],"container-title":["Lecture Notes in Computer Science","Web and Big Data"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-95-5722-6_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T08:14:15Z","timestamp":1769933655000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-5722-6_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9789819557219","9789819557226"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-5722-6_6","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"2 February 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"APWeb-WAIM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Shenyang","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","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":"28 August 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 August 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"apwebwaim2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/apweb2025.sau.edu.cn\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}