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We propose the first privacy-preserving consensus-based algorithm for the distributed learners to achieve decentralized global model aggregation in an environment of high mobility, where participating learners and the communication graph between them may vary during the learning process. In particular, whenever the communication graph changes, the Metropolis-Hastings method [\n            <jats:xref ref-type=\"bibr\">69<\/jats:xref>\n            ] is applied to update the weighted adjacency matrix based on the current communication topology. In addition, the Shamir\u2019s secret sharing (SSS) scheme [\n            <jats:xref ref-type=\"bibr\">61<\/jats:xref>\n            ] is integrated to facilitate privacy in reaching consensus of the global model. The article establishes the correctness and privacy properties of the proposed algorithm. The computational efficiency is evaluated by a simulation built on a federated learning framework with a real-world dataset.\n          <\/jats:p>","DOI":"10.1145\/3591354","type":"journal-article","created":{"date-parts":[[2023,4,6]],"date-time":"2023-04-06T11:19:21Z","timestamp":1680779961000},"page":"1-39","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":29,"title":["Privacy-preserving Decentralized Federated Learning over Time-varying Communication Graph"],"prefix":"10.1145","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8981-098X","authenticated-orcid":false,"given":"Yang","family":"Lu","sequence":"first","affiliation":[{"name":"Lancaster University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8967-5669","authenticated-orcid":false,"given":"Zhengxin","family":"Yu","sequence":"additional","affiliation":[{"name":"Lancaster University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1688-1167","authenticated-orcid":false,"given":"Neeraj","family":"Suri","sequence":"additional","affiliation":[{"name":"Lancaster University"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2023,6,26]]},"reference":[{"key":"e_1_3_2_2_2","first-page":"5356","volume-title":"Proceedings of the 2016 IEEE International Conference on Robotics and Automation","author":"Alonso-Mora J.","year":"2016","unstructured":"J. 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