{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,25]],"date-time":"2026-07-25T05:02:01Z","timestamp":1784955721075,"version":"3.55.0"},"reference-count":36,"publisher":"IEEE","license":[{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Horizon Europe"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,6]]},"DOI":"10.1109\/icsa66085.2026.00024","type":"proceedings-article","created":{"date-parts":[[2026,7,24]],"date-time":"2026-07-24T19:08:31Z","timestamp":1784920111000},"page":"185-192","source":"Crossref","is-referenced-by-count":0,"title":["Architectural Foundations for Collaborative Machine Learning in Federated Data Spaces"],"prefix":"10.1109","author":[{"given":"Nikolaos","family":"Papadakis","sequence":"first","affiliation":[{"name":"Institut Polytechnique de Paris"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kostas","family":"Magoutis","sequence":"additional","affiliation":[{"name":"University of Crete","department":["Computer Science Department"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Georgios","family":"Bouloukakis","sequence":"additional","affiliation":[{"name":"University of Patras","department":["Department of Electrical and Computer Engineering"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jcim.3c00799"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3585088.3589356"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3377454"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3704807"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.4018\/IJEPR.2018040105"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.2991\/racs-15.2016.28"},{"key":"ref7","article-title":"Gaia-x architecture document 25.11 release","year":"2025"},{"key":"ref8","article-title":"International data spaces (ids)","year":"2025"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICSA-C63560.2024.00031"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2017.2747214"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/IOTM.0001.1800022"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3583678.3596890"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1561\/9781680837896"},{"key":"ref14","first-page":"183","volume-title":"Towards a unified framework for split learning","author":"Radovi\u010d","year":"2025"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3388992"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/MASS56207.2022.00015"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CBMS.2013.6627810"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3723157"},{"key":"ref19","first-page":"56","volume-title":"An efficient distributed machine learning inference framework with byzantine fault detection","author":"Zhou","year":"2025"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3703447"},{"key":"ref21","article-title":"Guidelines for modelling with ngsi-ld, etsi","author":"Privat","year":"2021"},{"key":"ref22","article-title":"Flower: A friendly federated learning research framework","volume":"abs\/2007.14390","author":"Beutel","year":"2020","journal-title":"CoRR"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2211477"},{"key":"ref24","volume-title":"Learning multiple layers of features from tiny images","author":"Krizhevsky","year":"2012"},{"key":"ref25","article-title":"Human Activity Recognition Using Smartphones","volume-title":"UCI Machine Learning Repository","author":"Reyes-Ortiz","year":"2013"},{"key":"ref26","article-title":"On the convergence of fedavg on non-iid data","author":"Li","year":"2020"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-021-03583-3"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3552326.3567485"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098021"},{"key":"ref30","first-page":"39","article-title":"Accelerating the machine learning lifecycle with mlflow","volume":"41","author":"Zaharia","year":"2018"},{"key":"ref31","first-page":"51","article-title":"Continuous training for production ML in the TensorFlow extended (TFX) platform","volume-title":"2019 USENIX Conference on Operational Machine Learning (OpML 19)","author":"Baylor"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3448016.3457566"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3582302.3582306"},{"key":"ref34","article-title":"Towards federated learning at scale: System design","author":"Bonawitz","year":"2019"},{"key":"ref35","article-title":"Architectural patterns for the design of federated learning systems","author":"Sin Kit","year":"2021"},{"key":"ref36","first-page":"83","article-title":"Flra: A reference architecture for federated learning systems","volume-title":"Software Architecture: 15th European Conference, ECSA 2021, Virtual Event, Sweden, September 13-17, 2021, Proceedings","author":"Sin"}],"event":{"name":"2026 IEEE 23rd International Conference on Software Architecture (ICSA)","location":"Amsterdam, Netherlands","start":{"date-parts":[[2026,6,22]]},"end":{"date-parts":[[2026,6,26]]}},"container-title":["2026 IEEE 23rd International Conference on Software Architecture (ICSA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11612757\/11612759\/11613057.pdf?arnumber=11613057","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,25]],"date-time":"2026-07-25T04:29:45Z","timestamp":1784953785000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11613057\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6]]},"references-count":36,"URL":"https:\/\/doi.org\/10.1109\/icsa66085.2026.00024","relation":{},"subject":[],"published":{"date-parts":[[2026,6]]}}}