{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T21:45:44Z","timestamp":1777499144362,"version":"3.51.4"},"reference-count":27,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,6,11]],"date-time":"2023-06-11T00:00:00Z","timestamp":1686441600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,11]],"date-time":"2023-06-11T00:00:00Z","timestamp":1686441600000},"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":[[2023,6,11]]},"DOI":"10.1109\/dsp58604.2023.10167873","type":"proceedings-article","created":{"date-parts":[[2023,7,5]],"date-time":"2023-07-05T17:13:19Z","timestamp":1688577199000},"page":"1-5","source":"Crossref","is-referenced-by-count":4,"title":["Resource Efficient Federated Learning for Deep Anomaly Detection in Industrial IoT applications"],"prefix":"10.1109","author":[{"given":"Alexandros","family":"Gkillas","sequence":"first","affiliation":[{"name":"Industrial Systems Institute,Athena Research Center,Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aris","family":"Lalos","sequence":"additional","affiliation":[{"name":"Industrial Systems Institute,Athena Research Center,Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2018.2852491"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3107975"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.3016590"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3065425"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-018-24271-9"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-30490-4_56"},{"key":"ref7","article-title":"Time series anomaly detection using convolutional neural networks and transfer learning","author":"Wen","year":"2019"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.106679"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3011726"},{"key":"ref10","article-title":"Communication-efficient learning of deep networks from decentralized data","author":"McMahan","year":"2017","journal-title":"AISTATS"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9746925"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9054676"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/INDIN51773.2022.9976093"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.106679"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107261"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2765695"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICPS49255.2021.9468126"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01237-3_12"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298681"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2017.3641648"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3258400"},{"key":"ref22","first-page":"1273","article-title":"Communication-Efficient Learning of Deep Networks from Decentralized Data","volume-title":"Proceedings of the 20th International Conference on Artificial Intelligence and Statistics","volume":"54","author":"McMahan"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1561\/2200000016"},{"key":"ref24","first-page":"429","article-title":"Federated optimization in heterogeneous networks","volume-title":"Proceedings of Machine Learning and Systems","volume":"2","author":"Li"},{"key":"ref25","article-title":"Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion Pascal Vincent Hugo Larochelle Yoshua Bengio Pierre-Antoine Manzagol","author":"Ca","year":"2010","journal-title":"Tech. Rep."},{"key":"ref26","article-title":"Time series data prediction using sliding window based rbf neural network","author":"Hota","year":"2017"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2017.01.083"}],"event":{"name":"2023 24th International Conference on Digital Signal Processing (DSP)","location":"Rhodes (Rodos), Greece","start":{"date-parts":[[2023,6,11]]},"end":{"date-parts":[[2023,6,13]]}},"container-title":["2023 24th International Conference on Digital Signal Processing (DSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10167864\/10167764\/10167873.pdf?arnumber=10167873","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T01:53:14Z","timestamp":1710381194000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10167873\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,11]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/dsp58604.2023.10167873","relation":{},"subject":[],"published":{"date-parts":[[2023,6,11]]}}}