{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,14]],"date-time":"2026-01-14T00:14:38Z","timestamp":1768349678805,"version":"3.49.0"},"reference-count":29,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,6,24]],"date-time":"2025-06-24T00:00:00Z","timestamp":1750723200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,24]],"date-time":"2025-06-24T00:00:00Z","timestamp":1750723200000},"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":[[2025,6,24]]},"DOI":"10.23919\/ecc65951.2025.11187254","type":"proceedings-article","created":{"date-parts":[[2025,10,14]],"date-time":"2025-10-14T17:38:09Z","timestamp":1760463489000},"page":"1907-1912","source":"Crossref","is-referenced-by-count":2,"title":["Convergence Theory of Flexible ALADIN for Distributed Optimization"],"prefix":"10.23919","author":[{"given":"Xu","family":"Du","sequence":"first","affiliation":[{"name":"The Hong Kong University of Science and Technology (Guangzhou),Artificial Intelligence Thrust of the Information Hub,Guangzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaohua","family":"Zhou","sequence":"additional","affiliation":[{"name":"ShanghaiTech University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shijie","family":"Zhu","sequence":"additional","affiliation":[{"name":"China Telecom Corporation Ltd."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Apostolos I.","family":"Rikos","sequence":"additional","affiliation":[{"name":"The Hong Kong University of Science and Technology (Guangzhou),Artificial Intelligence Thrust of the Information Hub,Guangzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2020.3011358"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1090\/S0002-9947-09-05048-X"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1561\/9781601984616"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511804441"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2016.2544743"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2016.2537271"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CDC40024.2019.9028966"},{"key":"ref8","article-title":"Consensus aladin: A framework for distributed optimization and its application in federated learning","author":"Du","year":"2023"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.23919\/ACC63710.2025.11107815"},{"key":"ref10","article-title":"A bi-level globalization strategy for non-convex consensus admm and aladin","author":"Du","year":"2023"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TCNS.2020.3005079"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2018.2867682"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifacol.2017.08.1095"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s40305-018-0232-4"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TCNS.2017.2657460"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1137\/140990309"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1137\/140975991"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-63281-6_6"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s10957-021-01828-9"},{"key":"ref20","article-title":"Stochastic newton and cubic newton methods with simple local linear-quadratic rates","author":"Kovalev","year":"2019"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2020.102842"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2015.2436358"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CDC49753.2023.10383681"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1287\/moor.2019.0990"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2016.2570808"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2950337"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/GlobalSIP.2013.6736937"},{"key":"ref28","first-page":"1701","article-title":"Asynchronous distributed admm for consensus optimization","volume-title":"International conference on machine learning","author":"Zhang"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3243080"}],"event":{"name":"2025 European Control Conference (ECC)","location":"Thessaloniki, Greece","start":{"date-parts":[[2025,6,24]]},"end":{"date-parts":[[2025,6,27]]}},"container-title":["2025 European Control Conference (ECC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11186289\/11186290\/11187254.pdf?arnumber=11187254","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,15]],"date-time":"2025-10-15T05:49:34Z","timestamp":1760507374000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11187254\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,24]]},"references-count":29,"URL":"https:\/\/doi.org\/10.23919\/ecc65951.2025.11187254","relation":{},"subject":[],"published":{"date-parts":[[2025,6,24]]}}}