{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T09:29:39Z","timestamp":1762507779562},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,8]]},"abstract":"<jats:p>As an alternative decentralized training approach, Federated Learning enables distributed agents to collaboratively learn a machine learning model while keeping personal\/private information on local devices. However, one significant issue of this framework is the lack of transparency, thus obscuring understanding of the working mechanism of Federated Learning systems. This paper proposes a multi-agent visualization system that illustrates what is Federated Learning and how it supports multi-agents coordination. To be specific, it allows users to participate in the Federated Learning empowered multi-agent coordination. The input and output of Federated Learning are visualized simultaneously, which provides an intuitive explanation of Federated Learning for users in order to help them gain deeper understanding of the technology.<\/jats:p>","DOI":"10.24963\/ijcai.2019\/960","type":"proceedings-article","created":{"date-parts":[[2019,7,28]],"date-time":"2019-07-28T07:46:05Z","timestamp":1564299965000},"page":"6572-6574","source":"Crossref","is-referenced-by-count":27,"title":["Multi-Agent Visualization for Explaining Federated Learning"],"prefix":"10.24963","author":[{"given":"Xiguang","family":"Wei","sequence":"first","affiliation":[{"name":"AI Group, WeBank"}]},{"given":"Quan","family":"Li","sequence":"additional","affiliation":[{"name":"AI Group, WeBank"}]},{"given":"Yang","family":"Liu","sequence":"additional","affiliation":[{"name":"AI Group, WeBank"},{"name":"The Joint NTU-WeBank Research Centre of Eco-Intelligent Applications (THEIA)"}]},{"given":"Han","family":"Yu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Nanyang Technological University (NTU)"}]},{"given":"Tianjian","family":"Chen","sequence":"additional","affiliation":[{"name":"AI Group, WeBank"}]},{"given":"Qiang","family":"Yang","sequence":"additional","affiliation":[{"name":"AI Group, WeBank"},{"name":"Department of Computer Science and Engineering, Hong Kong University of Science and Technology"}]}],"member":"10584","event":{"number":"28","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"acronym":"IJCAI-2019","name":"Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}","start":{"date-parts":[[2019,8,10]]},"theme":"Artificial Intelligence","location":"Macao, China","end":{"date-parts":[[2019,8,16]]}},"container-title":["Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2019,7,28]],"date-time":"2019-07-28T07:53:03Z","timestamp":1564300383000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2019\/960"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2019,8]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2019\/960","relation":{},"subject":[],"published":{"date-parts":[[2019,8]]}}}