{"id":32536,"date":"2026-01-21T17:02:10","date_gmt":"2026-01-21T17:02:10","guid":{"rendered":"https:\/\/lamarr-institute.org\/publication\/federated-time-series-classification-with-rocket-features\/"},"modified":"2026-09-17T11:24:42","modified_gmt":"2026-09-17T11:24:42","slug":"federated-time-series-classification-with-rocket-features","status":"publish","type":"publication","link":"https:\/\/lamarr-institute.org\/de\/publication\/federated-time-series-classification-with-rocket-features\/","title":{"rendered":"Federated Time Series Classification with ROCKET features"},"content":{"rendered":"<p>This paper proposes FROCKS, a federated time series classification method using ROCKET features. Our approach dynamically adapts the models features by selecting and exchanging the best-performing ROCKET kernels from a federation of clients. Specifically, the server gathers the best-performing kernels of the clients together with the associated model parameters, and it performs a weighted average if a kernel is best-performing for more than one client. We compare the proposed method with state-of-the-art approaches on the UCR archive binary classification datasets and show superior performance on most datasets.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>This paper proposes FROCKS, a federated time series classification method using ROCKET features. Our approach dynamically adapts the models features by selecting and exchanging the best-performing ROCKET kernels from a federation of clients. Specifically, the server gathers the best-performing kernels of the clients together with the associated model parameters, and it performs a weighted average if a kernel is best-performing for more than one client. We compare the proposed method [&hellip;]<\/p>\n","protected":false},"author":14,"featured_media":0,"template":"","meta":{"_acf_changed":false,"footnotes":""},"publication-type":[32],"class_list":["post-32536","publication","type-publication","status-publish","hentry","publication-type-inproceedings"],"acf":[],"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/publication\/32536","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/publication"}],"about":[{"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/types\/publication"}],"author":[{"embeddable":true,"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/users\/14"}],"version-history":[{"count":1,"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/publication\/32536\/revisions"}],"predecessor-version":[{"id":41529,"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/publication\/32536\/revisions\/41529"}],"wp:attachment":[{"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/media?parent=32536"}],"wp:term":[{"taxonomy":"publication-type","embeddable":true,"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/publication-type?post=32536"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}