{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T06:14:04Z","timestamp":1783577644280,"version":"3.55.0"},"reference-count":46,"publisher":"IEEE","license":[{"start":{"date-parts":[[2026,6,22]],"date-time":"2026-06-22T00:00:00Z","timestamp":1782086400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,6,22]],"date-time":"2026-06-22T00:00:00Z","timestamp":1782086400000},"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":[[2026,6,22]]},"DOI":"10.1109\/dsn69566.2026.00080","type":"proceedings-article","created":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T19:41:43Z","timestamp":1783539703000},"page":"825-834","source":"Crossref","is-referenced-by-count":0,"title":["Automated Data Error Cleaning Impact on Federated Learning Utility and Fairness"],"prefix":"10.1109","author":[{"given":"James","family":"Sudlow","sequence":"first","affiliation":[{"name":"INSA Lyon – LIRIS,France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Baudouin","family":"Naline","sequence":"additional","affiliation":[{"name":"CNRS – LIRIS,France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sara","family":"Bouchenak","sequence":"additional","affiliation":[{"name":"INSA Lyon – LIRIS,France"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","first-page":"1273","article-title":"Communication-Efficient Learning of Deep Networks from Decentralized Data","volume-title":"The 20th International Conference on Artificial Intelligence and Statistics (AISTATS)","volume":"54","author":"McMahan"},{"key":"ref2","article-title":"New AI readiness report reveals insights into ML lifecycle","author":"Hwang","year":"2022"},{"key":"ref3","article-title":"AI Readiness Report 2024","year":"2024"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3299887.3299891"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.14778\/3415478.3415562"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3295412"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3735125"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00994"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2025.3537403"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.jprocont.2022.08.004"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN52387.2021.9534464"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3538712.3538748"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611976700.21"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/BigData50022.2020.9378043"},{"key":"ref15","article-title":"CleanPatrick: A Benchmark for Image Data Cleaning","author":"Gr\u00f6ger","year":"2025"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICAIIS49377.2020.9194803"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW.2011.36"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICIEA.2017.8282844"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3397\/IN_2025_1074506"},{"key":"ref20","first-page":"202","article-title":"Scaling Up the Accuracy of Naive-Bayes Classifiers: a Decision-Tree Hybrid","volume-title":"Proceedings of the Second International Conference on Knowledge Discovery and Data Mining","author":"Kohavi"},{"key":"ref21","article-title":"Census-Income (KDD)","year":"2000"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/RFID.2013.6548154"},{"key":"ref23","article-title":"Cardiovascular Disease dataset (Heart)","author":"Ulianova","year":"2018"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1097\/01.MLR.0000076048.11549.71"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4842-4470-8_20"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.10.118"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/S0925-2312(00)00305-2"},{"key":"ref28","article-title":"Titania\u2019s Repository","author":"Sudlow","year":"2026"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3722214"},{"key":"ref30","article-title":"Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy Labels","volume-title":"Conference on Uncertainty in Artificial Intelligence (UAI)","author":"Northcutt"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2021.3063947"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2019.8851920"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/DSN.2019.00068"},{"key":"ref34","article-title":"Robust Conformal Outlier Detection under Contaminated Reference Data","volume-title":"The 42nd International Conference on Machine Learning (ICML 2025)","author":"Bashari"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-024-56706-x"},{"key":"ref36","article-title":"Cleanlab open-source documentation","year":"2025"},{"key":"ref37","volume-title":"Introduction to the Theory of Statistics","author":"Mood","year":"1974"},{"key":"ref38","volume-title":"Exploratory Data Analysis","author":"Tukey","year":"1977"},{"key":"ref39","article-title":"A Comprehensive Review of Handling Missing Data: Exploring Special Missing Mechanisms","author":"Zhoua","year":"2024"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00987"},{"key":"ref41","first-page":"7252","article-title":"Bayesian Nonparametric Federated Learning of n-Neural Networks","volume-title":"International Conference on Machine Learning (ICML 2019)","author":"Yurochkin"},{"key":"ref42","volume-title":"Continuous Multivariate Distributions, Volume 1: Models and Applications","volume":"334","author":"Kotz","year":"2019"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/3631455"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01144"},{"key":"ref45","first-page":"5464","article-title":"GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training","volume-title":"International Conference on Machine Learning","author":"Killamsetty"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i9.16988"}],"event":{"name":"2026 56th Annual IEEE International Conference on Dependable Systems and Networks (DSN)","location":"Charlotte, NC, USA","start":{"date-parts":[[2026,6,22]]},"end":{"date-parts":[[2026,6,25]]}},"container-title":["2026 56th Annual IEEE International Conference on Dependable Systems and Networks (DSN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11593123\/11593173\/11593456.pdf?arnumber=11593456","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T05:23:42Z","timestamp":1783574622000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11593456\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,22]]},"references-count":46,"URL":"https:\/\/doi.org\/10.1109\/dsn69566.2026.00080","relation":{},"subject":[],"published":{"date-parts":[[2026,6,22]]}}}