{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T18:36:25Z","timestamp":1772908585908,"version":"3.50.1"},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,10,27]],"date-time":"2024-10-27T00:00:00Z","timestamp":1729987200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,10,27]],"date-time":"2024-10-27T00:00:00Z","timestamp":1729987200000},"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":[[2024,10,27]]},"DOI":"10.1109\/icip51287.2024.10647638","type":"proceedings-article","created":{"date-parts":[[2024,9,27]],"date-time":"2024-09-27T18:34:45Z","timestamp":1727462085000},"page":"451-457","source":"Crossref","is-referenced-by-count":4,"title":["FedAWA: Aggregation Weight Adjustment in Federated Domain Generalization"],"prefix":"10.1109","author":[{"given":"Yiming","family":"Chen","sequence":"first","affiliation":[{"name":"Tsinghua University,Department of Computer Science and Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nan","family":"He","sequence":"additional","affiliation":[{"name":"Tsinghua University,Department of Computer Science and Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lifeng","family":"Sun","sequence":"additional","affiliation":[{"name":"Tsinghua University,Department of Computer Science and Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.21552\/edpl\/2016\/3\/4"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3124599"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3234977"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00107"},{"key":"ref5","first-page":"38831","article-title":"Fedsr: A simple and effective domain generalization method for federated learning","volume":"35","author":"Tuan Nguyen","year":"2022","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00385"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3195549"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3178128"},{"key":"ref9","article-title":"Generalizing across domains via cross-gradient training","author":"Shankar","year":"2018","journal-title":"arXiv preprint arXiv:1804.10745"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00219"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8794443"},{"key":"ref12","first-page":"322","article-title":"Diva: Domain invariant variational autoencoders","author":"Ilse","year":"2020","journal-title":"Medical Imaging with Deep Learning"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00566"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2018.8451318"},{"key":"ref15","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","author":"McMahan","year":"2017","journal-title":"Artificial intelligence and statistics"},{"key":"ref16","first-page":"429","article-title":"Federated optimization in heterogeneous networks","volume":"2","author":"Li","year":"2020","journal-title":"Proceedings of Machine learning and systems"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2019.8803001"},{"key":"ref18","article-title":"Federated learning with additional mechanisms on clients to reduce communication costs","author":"Yao","year":"2019","journal-title":"arXiv preprint arXiv:1908.05891"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/VCIP.2018.8698609"},{"key":"ref20","article-title":"Federated learning based on dynamic regularization","author":"Emre Acar","year":"2021","journal-title":"arXiv preprint arXiv:2111.04263"},{"key":"ref21","first-page":"7611","article-title":"Tackling the objective inconsistency problem in heterogeneous federated optimization","volume":"33","author":"Wang","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/WACV56688.2023.00044"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.591"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.572"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"}],"event":{"name":"2024 IEEE International Conference on Image Processing (ICIP)","location":"Abu Dhabi, United Arab Emirates","start":{"date-parts":[[2024,10,27]]},"end":{"date-parts":[[2024,10,30]]}},"container-title":["2024 IEEE International Conference on Image Processing (ICIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10647221\/10647122\/10647638.pdf?arnumber=10647638","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,28]],"date-time":"2024-09-28T05:16:57Z","timestamp":1727500617000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10647638\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,27]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/icip51287.2024.10647638","relation":{},"subject":[],"published":{"date-parts":[[2024,10,27]]}}}