{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T21:46:37Z","timestamp":1770846397046,"version":"3.50.1"},"reference-count":33,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,10,5]],"date-time":"2025-10-05T00:00:00Z","timestamp":1759622400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,5]],"date-time":"2025-10-05T00:00:00Z","timestamp":1759622400000},"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":[[2025,10,5]]},"DOI":"10.1109\/smc58881.2025.11342497","type":"proceedings-article","created":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T20:54:44Z","timestamp":1769633684000},"page":"3634-3640","source":"Crossref","is-referenced-by-count":0,"title":["MTF-Grasp: A Multi-tier Federated Learning Approach for Robotic Grasping"],"prefix":"10.1109","author":[{"given":"Obaidullah","family":"Zaland","sequence":"first","affiliation":[{"name":"Ume&#x00E5; Unviersity,Department of Computing Science,Ume&#x00E5;,Sweden,SE-90781"}]},{"given":"Erik","family":"Elmroth","sequence":"additional","affiliation":[{"name":"Ume&#x00E5; Unviersity,Department of Computing Science,Ume&#x00E5;,Sweden,SE-90781"}]},{"given":"Monowar","family":"Bhuyan","sequence":"additional","affiliation":[{"name":"Ume&#x00E5; Unviersity,Department of Computing Science,Ume&#x00E5;,Sweden,SE-90781"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLC66258.2025.11280176"},{"key":"ref2","article-title":"Denoising and adaptive online vertical federated learning for sequential multi-sensor data in industrial internet of things","author":"Wang","year":"2025"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA57147.2024.10610855"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s43154-020-00021-6"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/COASE.2016.7743442"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA57147.2024.10610832"},{"key":"ref7","first-page":"5","article-title":"Federated learning: Strategies for improving communication efficiency","volume-title":"Proceedings of the 29th Conference on Neural Information Processing Systems (NIPS)","author":"McMahan"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-96-6972-1_16"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020.9341668"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICME59968.2025.11209111"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/SMC54092.2024.10831702"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1561\/2200000083"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1117\/12.2519621"},{"key":"ref14","first-page":"429","article-title":"Federated optimization in heterogeneous networks","volume-title":"Proceedings of Machine learning and systems","volume":"2","author":"Li"},{"key":"ref15","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":"ref16","first-page":"5132","article-title":"Scaffold: Stochastic controlled averaging for federated learning","volume-title":"International conference on machine learning","author":"Karimireddy"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE53745.2022.00077"},{"key":"ref18","article-title":"An experimental study of data heterogeneity in federated learning methods for medical imaging","author":"Qu","year":"2021"},{"key":"ref19","article-title":"Fedccea: A practical approach of client contribution evaluation for federated learning","author":"Shyn","year":"2021"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN52387.2021.9534372"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2020.3009406"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2021.12.272"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TCDS.2023.3239815"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.2976321"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2013.IX.036"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9561409"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2022.3191183"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2023.3270745"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10161191"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1177\/0278364914549607"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2018.8593950"},{"key":"ref32","article-title":"Shapenet: An information-rich 3d model repository","author":"Chang","year":"2015"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2022.XVIII.071"}],"event":{"name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","location":"Vienna, Austria","start":{"date-parts":[[2025,10,5]]},"end":{"date-parts":[[2025,10,8]]}},"container-title":["2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11342430\/11342431\/11342497.pdf?arnumber=11342497","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T20:53:21Z","timestamp":1770843201000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11342497\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,5]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1109\/smc58881.2025.11342497","relation":{},"subject":[],"published":{"date-parts":[[2025,10,5]]}}}