{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T11:00:37Z","timestamp":1778756437355,"version":"3.51.4"},"reference-count":34,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,5,10]],"date-time":"2021-05-10T00:00:00Z","timestamp":1620604800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,5,10]],"date-time":"2021-05-10T00:00:00Z","timestamp":1620604800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,5,10]],"date-time":"2021-05-10T00:00:00Z","timestamp":1620604800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,5,10]]},"DOI":"10.1109\/infocom42981.2021.9488705","type":"proceedings-article","created":{"date-parts":[[2021,7,27]],"date-time":"2021-07-27T00:07:32Z","timestamp":1627344452000},"page":"1-10","source":"Crossref","is-referenced-by-count":111,"title":["An Incentive Mechanism for Cross-Silo Federated Learning: A Public Goods Perspective"],"prefix":"10.1109","author":[{"given":"Ming","family":"Tang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vincent W.S.","family":"Wong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","article-title":"Electricity prices in Canada 2020","author":"hub","year":"0"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/1644893.1644927"},{"key":"ref31","article-title":"Cloud services pricing","author":"azure","year":"0"},{"key":"ref30","article-title":"Speedtest global index","year":"0"},{"key":"ref34","article-title":"boxplot","year":"0"},{"key":"ref10","article-title":"Federated learning with non-IID data","author":"zhao","year":"2018"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM41043.2020.9155494"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM41043.2020.9155414"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2019.8737464"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.2974748"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2020.2986024"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781139174312"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2018.2859236"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2018.2865951"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2019.2916448"},{"key":"ref28","article-title":"Linux virtual machines pricing","author":"azure","year":"0"},{"key":"ref4","article-title":"Machine learning ledger orchestration for drug discovery","year":"0"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1017\/S0962492904000212"},{"key":"ref3","article-title":"Swiss Re and Chinese firm WeBank partner to explore use of AI in reinsurance","author":"insurance","year":"0"},{"key":"ref6","article-title":"Communication-efficient learning of deep networks from decentralized data","author":"mcmahan","year":"2017","journal-title":"Proc Int&#x2019;l Conf on Artificial Intelligence and Statistics (AISTATS)"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/s10107-014-0808-7"},{"key":"ref5","article-title":"Our vision","year":"0"},{"key":"ref8","article-title":"Federated optimization in heterogeneous networks","author":"li","year":"2020","journal-title":"Proc Conf on Machine Learning and Systems (MLSys)"},{"key":"ref7","article-title":"SCAFFOLD: Stochastic controlled averaging for federated learning","author":"karimireddy","year":"2020","journal-title":"Proc Int Conf Machine Learn (ICML)"},{"key":"ref2","article-title":"Owkin solutions","year":"0"},{"key":"ref9","article-title":"On the convergence of FedAvg on non-IID data","author":"li","year":"2020","journal-title":"Proc Int&#x2019;l Conf on Learning Representations (ICLR)"},{"key":"ref1","doi-asserted-by":"crossref","DOI":"10.1561\/2200000083","article-title":"Advances and open problems in federated learning","volume":"14","author":"kairouz","year":"2021","journal-title":"Foundations and Trends in Machine Learning"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2985694"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2940820"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.2971981"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2012.121202"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2967772"},{"key":"ref26","article-title":"The MNIST database","author":"lecun","year":"0"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2019.2941205"}],"event":{"name":"IEEE INFOCOM 2021 - IEEE Conference on Computer Communications","location":"Vancouver, BC, Canada","start":{"date-parts":[[2021,5,10]]},"end":{"date-parts":[[2021,5,13]]}},"container-title":["IEEE INFOCOM 2021 - IEEE Conference on Computer Communications"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9488422\/9488423\/09488705.pdf?arnumber=9488705","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:43:42Z","timestamp":1652197422000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9488705\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,10]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/infocom42981.2021.9488705","relation":{},"subject":[],"published":{"date-parts":[[2021,5,10]]}}}