{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T15:17:27Z","timestamp":1761664647585,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":17,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,9,22]],"date-time":"2023-09-22T00:00:00Z","timestamp":1695340800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,9,22]]},"DOI":"10.1145\/3627345.3627356","type":"proceedings-article","created":{"date-parts":[[2023,12,4]],"date-time":"2023-12-04T23:14:02Z","timestamp":1701731642000},"page":"71-77","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Federated Learning for Network Traffic Classification: Impact of Non-IID Distribution on Model Performance"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-8514-3875","authenticated-orcid":false,"given":"Yi-Hsien","family":"Chiang","sequence":"first","affiliation":[{"name":"Computer Science, National Taichung University of Education, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1826-1992","authenticated-orcid":false,"given":"Lin-Huang","family":"Chang","sequence":"additional","affiliation":[{"name":"Computer Science, National Taichung University of Education, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3282-0479","authenticated-orcid":false,"given":"Tsung-Han","family":"Lee","sequence":"additional","affiliation":[{"name":"Computer Science, National Taichung University of Education, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,12,4]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Proceedings, Part X 16","author":"Hsu Tzu-Ming","year":"2020","unstructured":"Hsu, Tzu-Ming Harry, Hang Qi, and Matthew Brown. \"Federated visual classification with real-world data distribution.\" Computer Vision\u2013ECCV 2020: 16th European Conference, Glasgow, UK, August 23\u201328, 2020, Proceedings, Part X 16. Springer International Publishing, 2020."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2912896"},{"key":"e_1_3_2_1_3_1","unstructured":"Peng Yao Meirong He and Yu Wang. \"A federated semi-supervised learning approach for network traffic classification.\" arXiv preprint arXiv:2107.03933 (2021)."},{"key":"e_1_3_2_1_4_1","volume-title":"IEEE","author":"Tait Kathryn-Ann","year":"2021","unstructured":"Tait, Kathryn-Ann, \"Intrusion detection using machine learning techniques: an experimental comparison.\" 2021 International Congress of Advanced Technology and Engineering (ICOTEN). IEEE, 2021."},{"key":"e_1_3_2_1_5_1","volume-title":"PMLR","author":"McMahan Brendan","year":"2017","unstructured":"McMahan, Brendan, \"Communication-efficient learning of deep networks from decentralized data.\" Artificial intelligence and statistics. PMLR, 2017."},{"key":"e_1_3_2_1_6_1","volume-title":"Principles, Challenges, and Opportunities.\" arXiv preprint arXiv:2211.01549","author":"Fu Lei","year":"2022","unstructured":"Fu, Lei, \"Client Selection in Federated Learning: Principles, Challenges, and Opportunities.\" arXiv preprint arXiv:2211.01549 (2022)."},{"key":"e_1_3_2_1_7_1","volume-title":"Efficient and Secure Feature Selection for Vertical Federated Learning.\" arXiv preprint arXiv:2302.10417","author":"Li Anran","year":"2023","unstructured":"Li, Anran, \"FedSDG-FS: Efficient and Secure Feature Selection for Vertical Federated Learning.\" arXiv preprint arXiv:2302.10417 (2023)."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2021.3106104"},{"key":"e_1_3_2_1_9_1","volume-title":"IEEE","author":"Abbasi Mahmoud","year":"2022","unstructured":"Abbasi, Mahmoud, Amir Taherkordi, and Amin Shahraki. \"FLITC: A Novel Federated Learning-Based Method for IoT Traffic Classification.\" 2022 IEEE International Conference on Smart Computing (SMARTCOMP). IEEE, 2022."},{"key":"e_1_3_2_1_10_1","unstructured":"Peng Yao Meirong He and Yu Wang. \"A federated semi-supervised learning approach for network traffic classification.\" arXiv preprint arXiv:2107.03933 (2021)."},{"key":"e_1_3_2_1_11_1","unstructured":"Khaled Ahmed Konstantin Mishchenko and Peter Richt\u00e1rik. \"First analysis of local GD on heterogeneous data.\" arXiv preprint arXiv:1909.04715 (2019)."},{"key":"e_1_3_2_1_12_1","unstructured":"Li Xiang \"On the convergence of fedavg on non-iid data.\" arXiv preprint arXiv:1907.02189 (2019)."},{"key":"e_1_3_2_1_13_1","unstructured":"Zhao Yue \"Federated learning with non-iid data.\" arXiv preprint arXiv:1806.00582 (2018)."},{"key":"e_1_3_2_1_14_1","unstructured":"Hsu Tzu-Ming Harry Hang Qi and Matthew Brown. \"Measuring the effects of non-identical data distribution for federated visual classification.\" arXiv preprint arXiv:1909.06335 (2019)."},{"key":"e_1_3_2_1_15_1","volume-title":"IEEE","author":"Li Qinbin","year":"2022","unstructured":"Li, Qinbin, \"Federated learning on non-iid data silos: An experimental study.\" 2022 IEEE 38th International Conference on Data Engineering (ICDE). IEEE, 2022."},{"key":"e_1_3_2_1_16_1","unstructured":"https:\/\/www.kaggle.com\/jsrojas\/labeled-network-traffic-flows-114-applications"},{"key":"e_1_3_2_1_17_1","unstructured":"Federated Learning Framework git https:\/\/github.com\/adap\/flower"}],"event":{"name":"CCIOT 2023: 2023 8th International Conference on Cloud Computing and Internet of Things","acronym":"CCIOT 2023","location":"Okinawa Japan"},"container-title":["Proceedings of the 2023 8th International Conference on Cloud Computing and Internet of Things"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3627345.3627356","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3627345.3627356","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:45:41Z","timestamp":1750178741000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3627345.3627356"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,22]]},"references-count":17,"alternative-id":["10.1145\/3627345.3627356","10.1145\/3627345"],"URL":"https:\/\/doi.org\/10.1145\/3627345.3627356","relation":{},"subject":[],"published":{"date-parts":[[2023,9,22]]},"assertion":[{"value":"2023-12-04","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}