{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T07:10:56Z","timestamp":1778051456274,"version":"3.51.4"},"reference-count":41,"publisher":"IEEE","license":[{"start":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T00:00:00Z","timestamp":1772755200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T00:00:00Z","timestamp":1772755200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100000266","name":"Engineering and Physical Sciences Research Council","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000266","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,3,6]]},"DOI":"10.1109\/wacv61042.2026.00142","type":"proceedings-article","created":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T19:59:32Z","timestamp":1778011172000},"page":"1395-1404","source":"Crossref","is-referenced-by-count":0,"title":["Federated Model Synchronization for Diagnostic Redefinition through a Novel Selective Parameter Unlearning"],"prefix":"10.1109","author":[{"given":"Mayank","family":"Kumar Kundalwal","sequence":"first","affiliation":[{"name":"Indian Institute of Technology Jodhpur,India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Mamta","sequence":"additional","affiliation":[{"name":"King&#x2019;s College London,UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Deepak","family":"Mishra","sequence":"additional","affiliation":[{"name":"Indian Institute of Technology Jodhpur,India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Asif","family":"Ekbal","sequence":"additional","affiliation":[{"name":"Indian Institute of Technology Patna,India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3501813"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/SP40001.2021.00019"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2008.04.004"},{"key":"ref4","first-page":"4241","article-title":"Fast federated machine unlearning with nonlinear functional theory","volume-title":"International conference on machine learning","author":"Che"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3010287"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72117-5_23"},{"key":"ref7","article-title":"Salun: Empowering machine unlearning via gradient-based weight saliency in both image classification and generation","volume-title":"The Twelfth International Conference on Learning Representations","author":"Fan"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-47401-9_31"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i13.17371"},{"key":"ref10","first-page":"16319","article-title":"Adaptive machine unlearning","volume":"34","author":"Gupta","year":"2021","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref11","author":"Halimi","year":"2022","journal-title":"Federated unlearning: How to efficiently erase a client in fl?"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72943-0_12"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-long.805"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/SaTML54575.2023.00044"},{"key":"ref16","first-page":"5132","article-title":"Scaffold: Stochastic controlled averaging for federated learning","volume-title":"International conference on machine learning","author":"Karimireddy"},{"key":"ref17","article-title":"Federated learning: Strategies for improving communication efficiency","author":"Kone\u010dn\u1ef3","year":"2016"},{"key":"ref18","first-page":"36","article-title":"Towards unbounded machine unlearning","author":"Kurmanji","year":"2024","journal-title":"Advances in neural information processing systems"},{"key":"ref19","first-page":"429","article-title":"Federated optimization in heterogeneous networks","volume-title":"Proceedings of Machine Learning and Systems","author":"Li"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/IWQOS52092.2021.9521274"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3679014"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-clinpsy-032814-112745"},{"key":"ref23","article-title":"A unified approach to interpreting model predictions","author":"Lundberg","year":"2017"},{"key":"ref24","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":"ref25","article-title":"Federated unlearning made practical: Seamless integration via negated pseudo-gradients","author":"Mora","year":"2025"},{"key":"ref26","article-title":"Machine unlearning of federated clusters","author":"Pan","year":"2022"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2021.104319"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2024.3478334"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2024.3382726"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/2810103.2813687"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2017.41"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512222"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2023.23087"},{"key":"ref35","year":"2021","journal-title":"Classification of omicron (b.1.1.529): Sars-cov-2 variant of concern"},{"key":"ref36","year":"2023","journal-title":"Tracking sars-cov-2 variants"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM58522.2023.00188"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2024.3409947"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-022-01721-8"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-022-01721-8"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1117\/12.3030004"}],"event":{"name":"2026 IEEE\/CVF Winter Conference on Applications of Computer Vision (WACV)","location":"Tucson, AZ, USA","start":{"date-parts":[[2026,3,6]]},"end":{"date-parts":[[2026,3,10]]}},"container-title":["2026 IEEE\/CVF Winter Conference on Applications of Computer Vision (WACV)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11491838\/11491925\/11492178.pdf?arnumber=11492178","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T06:12:08Z","timestamp":1778047928000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11492178\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3,6]]},"references-count":41,"URL":"https:\/\/doi.org\/10.1109\/wacv61042.2026.00142","relation":{},"subject":[],"published":{"date-parts":[[2026,3,6]]}}}