{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,5]],"date-time":"2026-04-05T20:24:59Z","timestamp":1775420699134,"version":"3.50.1"},"reference-count":5,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,1,6]],"date-time":"2024-01-06T00:00:00Z","timestamp":1704499200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,6]],"date-time":"2024-01-06T00:00:00Z","timestamp":1704499200000},"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":[[2024,1,6]]},"DOI":"10.1109\/ccnc51664.2024.10454880","type":"proceedings-article","created":{"date-parts":[[2024,3,18]],"date-time":"2024-03-18T14:53:49Z","timestamp":1710773629000},"page":"839-842","source":"Crossref","is-referenced-by-count":4,"title":["FS-Boost: Communication-Efficient Federated Subtree-Based Gradient Boosting Decision Trees"],"prefix":"10.1109","author":[{"given":"Kotaro","family":"Shimamura","sequence":"first","affiliation":[{"name":"The University of Tokyo,Tokyo,Japan"}]},{"given":"Shinya","family":"Takamaeda-Yamazaki","sequence":"additional","affiliation":[{"name":"The University of Tokyo,Tokyo,Japan"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3298981"},{"key":"ref2","article-title":"Why do tree-based models still outperform deep learning on typical tabular data?","volume-title":"Thirty-sixth Conference on Neural Information Processing Systems Datasets and Benchmarks Track","author":"Grinsztajn","year":"2022"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3169502"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939785"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2022.3227014"}],"event":{"name":"2024 IEEE 21st Consumer Communications & Networking Conference (CCNC)","location":"Las Vegas, NV, USA","start":{"date-parts":[[2024,1,6]]},"end":{"date-parts":[[2024,1,9]]}},"container-title":["2024 IEEE 21st Consumer Communications & Networking Conference (CCNC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10454139\/10454627\/10454880.pdf?arnumber=10454880","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,26]],"date-time":"2024-03-26T09:34:26Z","timestamp":1711445666000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10454880\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,6]]},"references-count":5,"URL":"https:\/\/doi.org\/10.1109\/ccnc51664.2024.10454880","relation":{},"subject":[],"published":{"date-parts":[[2024,1,6]]}}}