{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,8]],"date-time":"2026-02-08T06:07:30Z","timestamp":1770530850845,"version":"3.49.0"},"reference-count":30,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,5,31]],"date-time":"2023-05-31T00:00:00Z","timestamp":1685491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,5,31]],"date-time":"2023-05-31T00:00:00Z","timestamp":1685491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,5,31]]},"DOI":"10.23919\/acc55779.2023.10156097","type":"proceedings-article","created":{"date-parts":[[2023,7,3]],"date-time":"2023-07-03T17:48:03Z","timestamp":1688406483000},"page":"3595-3601","source":"Crossref","is-referenced-by-count":3,"title":["Differentially Private Timeseries Forecasts for Networked Control"],"prefix":"10.23919","author":[{"given":"Po-Han","family":"Li","sequence":"first","affiliation":[{"name":"The University of Texas,Department of Electrical and Computer Engineering,Austin"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sandeep P.","family":"Chinchali","sequence":"additional","affiliation":[{"name":"The University of Texas,Department of Electrical and Computer Engineering,Austin"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ufuk","family":"Topcu","sequence":"additional","affiliation":[{"name":"The University of Texas,Oden Institute for Computational Engineering and Sciences,Austin"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"5947","article-title":"Data sharing and compression for cooperative networked control","volume":"34","author":"Cheng","year":"2021","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref2","article-title":"Task-based end-to-end model learning in stochastic optimization","volume-title":"Advances in Neural Information Processing Systems","volume":"30","author":"Donti","year":"2017"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11339"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/allerton49937.2022.9929419"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/11787006_1"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TCNS.2017.2658190"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.23919\/ACC.2017.7963193"},{"key":"ref8","first-page":"3835","article-title":"Task-aware privacy preservation for multi-dimensional data","volume-title":"International Conference on Machine Learning","author":"Cheng"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/comst.2019.2944748"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA46639.2022.9811557"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2021.3093552"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS.2016.50"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2923261"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/2554797.2554834"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-24861-0_22"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3183713.3197390"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/11681878_14"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1561\/0400000042"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1017\/cbo9781139020411"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s00186-007-0161-1"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-26989-4_4"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/2523813"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2876857"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-349-20865-4_2"},{"key":"ref25","volume-title":"Uber pickups in new york city","year":"2019"},{"key":"ref26","article-title":"tsai - a state-of-the-art deep learning library for time series and sequential data","author":"Oguiza","year":"2022","journal-title":"Github"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467401"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-020-00710-y"},{"key":"ref29","article-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling","volume-title":"NIPS Workshop on Deep Learning","author":"Chung"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3272031"}],"event":{"name":"2023 American Control Conference (ACC)","location":"San Diego, CA, USA","start":{"date-parts":[[2023,5,31]]},"end":{"date-parts":[[2023,6,2]]}},"container-title":["2023 American Control Conference (ACC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10155646\/10155787\/10156097.pdf?arnumber=10156097","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T03:25:11Z","timestamp":1710386711000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10156097\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,31]]},"references-count":30,"URL":"https:\/\/doi.org\/10.23919\/acc55779.2023.10156097","relation":{},"subject":[],"published":{"date-parts":[[2023,5,31]]}}}