{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,22]],"date-time":"2025-03-22T04:19:14Z","timestamp":1742617154831,"version":"3.40.2"},"reference-count":30,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,9,24]],"date-time":"2024-09-24T00:00:00Z","timestamp":1727136000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,9,24]],"date-time":"2024-09-24T00:00:00Z","timestamp":1727136000000},"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":[[2024,9,24]]},"DOI":"10.1109\/itsc58415.2024.10920195","type":"proceedings-article","created":{"date-parts":[[2025,3,21]],"date-time":"2025-03-21T19:00:11Z","timestamp":1742583611000},"page":"2420-2425","source":"Crossref","is-referenced-by-count":0,"title":["Leveraging Bayesian Optimization to Enhance Self-Supervised Federated Learning of Monocular Depth Estimators"],"prefix":"10.1109","author":[{"given":"Elton F.","family":"De S. Soares","sequence":"first","affiliation":[{"name":"IBM Research, and the Federal University of State of Rio de Janeiro (UNIRIO),Brazilian Research Lab (BRL),Rio de Janeiro,Brazil"}]},{"given":"Emilio Vital","family":"Brazil","sequence":"additional","affiliation":[{"name":"BRL"}]},{"given":"Carlos Alberto V.","family":"Campos","sequence":"additional","affiliation":[{"name":"UNIRIO"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.12.089"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2992393"},{"key":"ref3","first-page":"1273","article-title":"Communication-Efficient Learning of Deep Networks from Decentralized Data","volume-title":"AISTATS","volume":"54","author":"McMahan","year":"2017"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/OJCS.2020.2992630"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.011.2000552"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/VTC2024-Fall63153.2024.10757815"},{"key":"ref7","author":"De S. Soares","year":"2023","journal-title":"Federated self-supervised learning of monocular depth estimators for autonomous vehicles"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2022.05.003"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/SMC53654.2022.9945217"},{"key":"ref10","first-page":"525","article-title":"Boa: the bayesian optimization algorithm","volume-title":"GECCO","author":"Pelikan","year":"1999"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2019.07.056"},{"key":"ref12","volume-title":"Bayesian federated learning: A survey","author":"Cao","year":"2023"},{"key":"ref13","article-title":"Practical bayesian optimization of machine learning algorithms","volume-title":"Advances in Neural Information Processing Systems","volume":"25","author":"Snoek","year":"2012"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2017.00012"},{"key":"ref15","article-title":"Unsupervised scale-consistent depth and ego-motion learning from monocular video","volume-title":"Advances in Neural Information Processing Systems","volume":"32","author":"Bian","year":"2019"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3136220"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3322549"},{"key":"ref18","first-page":"160","article-title":"Multiframe self-supervised depth with transformers","author":"Guizilini","year":"2022","journal-title":"IEEE\/CVF CVPR"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3378679.3394530"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00487"},{"key":"ref21","volume-title":"Does learning from decentralized non-iid unlabeled data benefit from self supervision?","author":"Wang","year":"2023"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2023.01.019"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/jbhi.2024.3423797"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3262669"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.700"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01252"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-32373-0_3"},{"key":"ref28","first-page":"9687","article-title":"Federated bayesian optimization via thompson sampling","volume":"33","author":"Dai","year":"2020","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref29","article-title":"Depth map prediction from a single image using a multi-scale deep network","volume-title":"Advances in Neural Information Processing Systems","volume":"27","author":"Eigen","year":"2014"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"}],"event":{"name":"2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC)","location":"Edmonton, AB, Canada","start":{"date-parts":[[2024,9,24]]},"end":{"date-parts":[[2024,9,27]]}},"container-title":["2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10919469\/10919190\/10920195.pdf?arnumber=10920195","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,21]],"date-time":"2025-03-21T21:54:28Z","timestamp":1742594068000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10920195\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9,24]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/itsc58415.2024.10920195","relation":{},"subject":[],"published":{"date-parts":[[2024,9,24]]}}}