{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T20:26:39Z","timestamp":1783628799191,"version":"3.55.0"},"reference-count":27,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"14","license":[{"start":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T00:00:00Z","timestamp":1784073600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T00:00:00Z","timestamp":1784073600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T00:00:00Z","timestamp":1784073600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62571208"],"award-info":[{"award-number":["62571208"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62301516"],"award-info":[{"award-number":["62301516"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Internet Things J."],"published-print":{"date-parts":[[2026,7,15]]},"DOI":"10.1109\/jiot.2026.3686758","type":"journal-article","created":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T19:59:51Z","timestamp":1776974391000},"page":"30595-30609","source":"Crossref","is-referenced-by-count":0,"title":["Communication-Efficient Distributed Learning via Bidirectional Dynamic Quantization and Bitmap"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8036-9689","authenticated-orcid":false,"given":"Yayu","family":"Gao","sequence":"first","affiliation":[{"name":"School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bo","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hao","family":"Hu","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering and Electronic Information, China University of Geosciences (Wuhan), Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3081-8068","authenticated-orcid":false,"given":"Yingyu","family":"Li","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering and Electronic Information, China University of Geosciences (Wuhan), Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1921-9032","authenticated-orcid":false,"given":"Chengwei","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-1680-312X","authenticated-orcid":false,"given":"Guohui","family":"Zhong","sequence":"additional","affiliation":[{"name":"School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/WCNC61545.2025.10978684"},{"key":"ref2","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. Int. Conf. Artif. Intell. Statist.","author":"McMahan"},{"issue":"2","key":"ref3","first-page":"25","article-title":"Federated learning for 6G: A survey from perspective of integrated sensing, communication and computation","volume":"21","author":"Moke","year":"2023","journal-title":"ZTE Commun."},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3041185"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3349557"},{"key":"ref6","first-page":"560","article-title":"SignSGD: Compressed optimisation for non-convex problems","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Bernstein"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.3041388"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9413697"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM48099.2022.10001205"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2022.3202645"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2944481"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2956615"},{"key":"ref13","first-page":"1707","article-title":"QSGD: Communication-efficient SGD via gradient quantization and encoding","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Alistarh"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3426745.3431334"},{"key":"ref15","first-page":"2021","article-title":"FedPAQ: A communication-efficient federated learning method with periodic averaging and quantization","volume-title":"Proc. Int. Conf. Artif. Intell. Statist.","author":"Reisizadeh"},{"key":"ref16","article-title":"A systematic survey of blockchained federated learning","author":"Wang","year":"2021","journal-title":"arXiv:2110.02182"},{"issue":"1","key":"ref17","first-page":"15","article-title":"Reliable and privacy-preserving federated learning with anomalous users","volume":"21","author":"Weiting","year":"2023","journal-title":"ZTE Commun."},{"issue":"1","key":"ref18","first-page":"38","article-title":"Hierarchical federated learning: Architecture, challenges, and its implementation in vehicular networks","volume":"21","author":"Jintao","year":"2023","journal-title":"ZTE Commun."},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/MCI.2022.3180932"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3501813"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2022.09.027"},{"key":"ref22","article-title":"Deep compression: Compressing deep neural networks with pruning, trained quantization and Huffman coding","author":"Han","year":"2015","journal-title":"arXiv:1510.00149"},{"key":"ref23","first-page":"2849","article-title":"Fixed point quantization of deep convolutional networks","volume-title":"Proc. 33rd Int. Conf. Int. Conf. Mach. Learn.","author":"Lin"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2211477"},{"key":"ref25","volume-title":"Cifar-10 (canadian Institute for Advanced Research)","author":"Krizhevsky","year":"2010"},{"key":"ref26","volume-title":"Learning multiple layers of features from tiny images","author":"Krizhevsky","year":"2009"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3190508.3190538"}],"container-title":["IEEE Internet of Things Journal"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6488907\/11599885\/11493779.pdf?arnumber=11493779","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T19:45:03Z","timestamp":1783626303000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11493779\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,15]]},"references-count":27,"journal-issue":{"issue":"14"},"URL":"https:\/\/doi.org\/10.1109\/jiot.2026.3686758","relation":{},"ISSN":["2327-4662","2372-2541"],"issn-type":[{"value":"2327-4662","type":"electronic"},{"value":"2372-2541","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,15]]}}}