{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,19]],"date-time":"2026-05-19T18:46:35Z","timestamp":1779216395983,"version":"3.51.4"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,12,3]],"date-time":"2024-12-03T00:00:00Z","timestamp":1733184000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,3]],"date-time":"2024-12-03T00:00:00Z","timestamp":1733184000000},"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":[[2024,12,3]]},"DOI":"10.1109\/bibm62325.2024.10822021","type":"proceedings-article","created":{"date-parts":[[2025,1,10]],"date-time":"2025-01-10T20:12:45Z","timestamp":1736539965000},"page":"2325-2331","source":"Crossref","is-referenced-by-count":4,"title":["FedDP: Privacy-preserving method based on federated learning for histopathology image segmentation"],"prefix":"10.1109","author":[{"given":"Liangrui","family":"Pan","sequence":"first","affiliation":[{"name":"Hunan University,College of Computer Science and Electronic Engineering,Chang Sha,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mao","family":"Huang","sequence":"additional","affiliation":[{"name":"Central South University,Cancer Research Institute, School of Basic Medical Sciences,Chang Sha,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lian","family":"Wang","sequence":"additional","affiliation":[{"name":"Hunan University,College of Computer Science and Electronic Engineering,Chang Sha,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pinle","family":"Qin","sequence":"additional","affiliation":[{"name":"North University of China,School of Computer Science,Tai Yuan,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shaoliang","family":"Peng","sequence":"additional","affiliation":[{"name":"Hunan University,College of Computer Science and Electronic Engineering,Chang Sha,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1002\/path.5331"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101914"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-022-02155-w"},{"key":"ref4","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Artificial intelligence and statistics","author":"McMahan","year":"2017"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.metrad.2024.100080"},{"key":"ref6","first-page":"429","article-title":"Federated optimization in heterogeneous networks","volume-title":"Proceedings of Machine learning and systems","volume":"2","author":"Li"},{"key":"ref7","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":"ref8","first-page":"3581","article-title":"Federated learning with buffered asynchronous aggregation","volume-title":"International Conference on Artificial Intelligence and Statistics","author":"Nguyen"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/223"},{"key":"ref10","first-page":"16937","article-title":"Inverting gradients-how easy is it to break privacy in federated learning?","volume":"33","author":"Geiping","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2022.3169117"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00981"},{"key":"ref13","article-title":"Fishing for user data in large-batch federated learning via gradient magnification","author":"Wen","year":"2022"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-023-38794-x"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-022-30714-9"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i14.29510"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i19.30171"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2023.104976"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM58861.2023.10385465"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01167"},{"key":"ref22","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref24","article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2020"}],"event":{"name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","location":"Lisbon, Portugal","start":{"date-parts":[[2024,12,3]]},"end":{"date-parts":[[2024,12,6]]}},"container-title":["2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10821710\/10821711\/10822021.pdf?arnumber=10822021","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,14]],"date-time":"2025-01-14T19:40:29Z","timestamp":1736883629000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10822021\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,3]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/bibm62325.2024.10822021","relation":{},"subject":[],"published":{"date-parts":[[2024,12,3]]}}}