{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T19:55:00Z","timestamp":1770753300679,"version":"3.50.0"},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,9,18]],"date-time":"2023-09-18T00:00:00Z","timestamp":1694995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,9,18]],"date-time":"2023-09-18T00:00:00Z","timestamp":1694995200000},"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":[[2023,9,18]]},"DOI":"10.1109\/fmec59375.2023.10305969","type":"proceedings-article","created":{"date-parts":[[2023,11,8]],"date-time":"2023-11-08T18:51:37Z","timestamp":1699469497000},"page":"151-158","source":"Crossref","is-referenced-by-count":9,"title":["Federated Object Detection for Quality Inspection in Shared Production"],"prefix":"10.1109","author":[{"given":"Vinit","family":"Hegiste","sequence":"first","affiliation":[{"name":"Chair of Machine Tools and Control Systems, RPTU Kaiserslautern-Landau,Kaiserslautern,Germany"}]},{"given":"Tatjana","family":"Legler","sequence":"additional","affiliation":[{"name":"Chair of Machine Tools and Control Systems, RPTU Kaiserslautern-Landau,Kaiserslautern,Germany"}]},{"given":"Kirill","family":"Fridman","sequence":"additional","affiliation":[{"name":"Huawei Technologies D&#x00FC;sseldorf GmbH,D&#x00FC;sseldorf,Germany"}]},{"given":"Martin","family":"Ruskowski","sequence":"additional","affiliation":[{"name":"Innovative Factory Systems (IFS), German Research Center for Artificial Intelligence (DFKI),Kaiserslautern,Germany"}]}],"member":"263","reference":[{"key":"ref13","volume":"abs 2111 11066","author":"he","year":"2021","journal-title":"Fedcv A federated learning framework for diverse computer vision tasks"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3263533"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref14","author":"su","year":"2022","journal-title":"Cross-domain federated object detection"},{"key":"ref11","author":"van bommel","year":"2021","journal-title":"Active learning during federated learning for object detection"},{"key":"ref10","author":"luo","year":"2021","journal-title":"Real-world image datasets for federated learning"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46448-0_2"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifacol.2022.10.090"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref19","author":"jungbluth","year":"2023","journal-title":"Architecture for shared production leveraging asset administration shell and gaia-x (in press)"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.procir.2023.02.051"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-38165-2_130"},{"key":"ref23","year":"2023","journal-title":"Google cloud model cards"},{"key":"ref25","year":"2023","journal-title":"Eclipse Dataspace Components"},{"key":"ref20","author":"simon","year":"2023","journal-title":"Realisierung einer shared production"},{"key":"ref22","year":"2023","journal-title":"Idta registered aas submodel templates"},{"key":"ref21","article-title":"Asset administration shells and gaia-x enabled shared production scenario (in press)","author":"volkmann","year":"2023","journal-title":"Lecture Notes in Mechanical Engineering (LNME)"},{"key":"ref8","author":"j","year":"2020","journal-title":"Ultralytics\/YOLOV5 V3 1- Bug Fixes and Performance Improvements"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/I4Tech55392.2022.9952385"},{"key":"ref9","author":"wang","year":"2022","journal-title":"Yolov7 Trainable bag-of-freebies sets new state-of-the-art for realtime object detectors"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref3","author":"ren","year":"2016","journal-title":"Faster R-CNN Towards realtime object detection with region proposal networks"},{"key":"ref6","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume":"54","author":"mcmahan","year":"0","journal-title":"Proceedings of the 20th international Conference on Artificial Intelligence and Statistics ser Proceedings of Machine Learning Research"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01079"}],"event":{"name":"2023 Eighth International Conference on Fog and Mobile Edge Computing (FMEC)","location":"Tartu, Estonia","start":{"date-parts":[[2023,9,18]]},"end":{"date-parts":[[2023,9,20]]}},"container-title":["2023 Eighth International Conference on Fog and Mobile Edge Computing (FMEC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10305711\/10305726\/10305969.pdf?arnumber=10305969","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,11]],"date-time":"2023-12-11T19:22:42Z","timestamp":1702322562000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10305969\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,18]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/fmec59375.2023.10305969","relation":{},"subject":[],"published":{"date-parts":[[2023,9,18]]}}}