{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T09:17:09Z","timestamp":1769073429222,"version":"3.49.0"},"reference-count":37,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T00:00:00Z","timestamp":1760832000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T00:00:00Z","timestamp":1760832000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100000781","name":"European Research Council","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000781","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,10,19]]},"DOI":"10.1109\/iros60139.2025.11245937","type":"proceedings-article","created":{"date-parts":[[2025,11,27]],"date-time":"2025-11-27T18:54:45Z","timestamp":1764269685000},"page":"2494-2500","source":"Crossref","is-referenced-by-count":1,"title":["FLAME: A Federated Learning Benchmark for Robotic Manipulation"],"prefix":"10.1109","author":[{"given":"Santiago Bou","family":"Betran","sequence":"first","affiliation":[{"name":"KTH Royal Institute of Technology,Stockholm,Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alberta","family":"Longhini","sequence":"additional","affiliation":[{"name":"KTH Royal Institute of Technology,Stockholm,Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Miguel","family":"Vasco","sequence":"additional","affiliation":[{"name":"KTH Royal Institute of Technology,Stockholm,Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuchong","family":"Zhang","sequence":"additional","affiliation":[{"name":"KTH Royal Institute of Technology,Stockholm,Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Danica","family":"Kragic","sequence":"additional","affiliation":[{"name":"KTH Royal Institute of Technology,Stockholm,Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Aloha unleashed: A simple recipe for robot dexterity","author":"Zhao","year":"2024"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.15607\/rss.2025.xxi.010"},{"key":"ref3","article-title":"Rt-2: Vision-language-action models transfer web knowledge to robotic control","author":"Brohan","year":"2023"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2024.XX.120"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/icra57147.2024.10611615"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA57147.2024.10611477"},{"key":"ref7","first-page":"1723","article-title":"Bridgedata v2: A dataset for robot learning at scale","volume-title":"Conference on Robot Learning","author":"Walke"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2953884"},{"key":"ref9","first-page":"409","article-title":"An empirical study: Privacy and security analysis of companion robot system development","volume-title":"ICCWS 2021 16th International Conference on Cyber Warfare and Security","author":"Yankson"},{"key":"ref10","article-title":"Palm-e: An embodied multimodal language model","author":"Driess","year":"2023"},{"key":"ref11","article-title":"Openvla: An open-source vision-language-action model","author":"Kim","year":"2024"},{"key":"ref12","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":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/IROS47612.2022.9981998"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2022.10.123"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10161191"},{"key":"ref16","article-title":"Federated averaging as expectation maximization","author":"Louizos","year":"2021"},{"key":"ref17","article-title":"Adaptive federated optimization","author":"Reddi","year":"2020"},{"key":"ref18","article-title":"Measuring the effects of nonidentical data distribution for federated visual classification","author":"Hsu","year":"2019"},{"key":"ref19","article-title":"Byzantine-tolerant machine learning","author":"Blanchard","year":"2017"},{"key":"ref20","first-page":"11 814","article-title":"Fedscale: Benchmarking model and system performance of federated learning at scale","volume-title":"International conference on machine learning","author":"Lai"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-16-1160-5_14"},{"key":"ref22","first-page":"111 106","article-title":"Fedllm-bench: Realistic benchmarks for federated learning of large language models","volume":"37","author":"Ye","year":"2025","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref23","article-title":"Leaf: A benchmark for federated settings","author":"Caldas","year":"2018"},{"key":"ref24","first-page":"37 792","article-title":"Flair: Federated learning annotated image repository","volume":"35","author":"Song","year":"2022","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2021.07.041"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TCDS.2023.3239815"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.20517\/ir.2021.02"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9560791"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2022.3221352"},{"key":"ref30","article-title":"Robonet: Large-scale multi-robot learning","author":"Dasari","year":"2019"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2024.XX.133"},{"key":"ref32","article-title":"robosuite: A modular simulation framework and benchmark for robot learning","author":"Zhu","year":"2020"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1177\/02783649241276017"},{"key":"ref34","first-page":"6720","article-title":"Rlvigen: A reinforcement learning benchmark for visual generalization","volume":"36","author":"Yuan","year":"2023","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.2974707"},{"key":"ref36","article-title":"Flower: A friendly federated learning research framework","author":"Beutel","year":"2020"},{"key":"ref37","article-title":"Scaling laws for imitation learning in single-agent games","author":"Tuyls","year":"2023"}],"event":{"name":"2025 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)","location":"Hangzhou, China","start":{"date-parts":[[2025,10,19]]},"end":{"date-parts":[[2025,10,25]]}},"container-title":["2025 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11245651\/11245652\/11245937.pdf?arnumber=11245937","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T06:08:50Z","timestamp":1765519730000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11245937\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,19]]},"references-count":37,"URL":"https:\/\/doi.org\/10.1109\/iros60139.2025.11245937","relation":{},"subject":[],"published":{"date-parts":[[2025,10,19]]}}}