{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T08:10:12Z","timestamp":1763194212336,"version":"3.45.0"},"reference-count":19,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,6,30]]},"DOI":"10.1109\/ijcnn64981.2025.11227244","type":"proceedings-article","created":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T18:46:15Z","timestamp":1763145975000},"page":"1-7","source":"Crossref","is-referenced-by-count":0,"title":["An Architecture for Fully Decentralized Opportunistic Learning"],"prefix":"10.1109","author":[{"given":"Dequn","family":"Kong","sequence":"first","affiliation":[{"name":"China Mobile Research Institute (CMRI),Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaotao","family":"Li","sequence":"additional","affiliation":[{"name":"China Mobile Research Institute (CMRI),Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wai","family":"Chen","sequence":"additional","affiliation":[{"name":"China Mobile Research Institute (CMRI),Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-021-03583-3"},{"article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proceedings of the 20th International Conference on Artificial Intelligence and Statistics(AISTATS)","author":"Brendan","key":"ref2"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3160699"},{"article-title":"Collaborative Learning between Cloud and End Devices: An Empirical Study on Location Prediction","volume-title":"SEC19 ACMIEEE Symposium on Edge Computing","author":"Yan","key":"ref4"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3190359"},{"key":"ref6","first-page":"15434","article-title":"Federated multi-task learning under a mixture of distributions","volume":"34","author":"Othmane","year":"2021","journal-title":"Advances in Neural Information Processing Systems"},{"author":"Fallah","key":"ref7","article-title":"Personalized federated learning: a meta-learning approach"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3078543"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.23919\/IFIPNetworking52078.2021.9472790"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCC56324.2022.10066050"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-022-29763-x"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-63076-8_14"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i11.17219"},{"issue":"7","key":"ref14","first-page":"38","article-title":"Distilling the Knowledge in a Neural Network","volume":"14","author":"Hinton","year":"2015","journal-title":"Computer Science"},{"key":"ref15","article-title":"Efficient Estimation of Word Representations in Vector Space","author":"Mikolov","year":"2013","journal-title":"Computer Science"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"article-title":"Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms","year":"2017","author":"Xiao","key":"ref17"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"issue":"11","key":"ref19","doi-asserted-by":"crossref","first-page":"1649","DOI":"10.1093\/comjnl\/bxt075","article-title":"Recognizing daily and sports activities in two open source machine learning environments using body-worn sensor units","volume":"57","author":"Billur","year":"2014","journal-title":"Comput. J."}],"event":{"name":"2025 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2025,6,30]]},"location":"Rome, Italy","end":{"date-parts":[[2025,7,5]]}},"container-title":["2025 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11227166\/11227148\/11227244.pdf?arnumber=11227244","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T08:06:59Z","timestamp":1763194019000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11227244\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,30]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/ijcnn64981.2025.11227244","relation":{},"subject":[],"published":{"date-parts":[[2025,6,30]]}}}