{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T15:33:46Z","timestamp":1774020826890,"version":"3.50.1"},"reference-count":46,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T00:00:00Z","timestamp":1648771200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T00:00:00Z","timestamp":1648771200000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T00:00:00Z","timestamp":1648771200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T00:00:00Z","timestamp":1648771200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"NSF Graduate Research Fellowship"},{"name":"Dwight D. Eisenhower Transportation Fellowship"},{"name":"NASA ULI","award":["80NSSC20M0163"],"award-info":[{"award-number":["80NSSC20M0163"]}]},{"name":"NSF NRI","award":["1925030"],"award-info":[{"award-number":["1925030"]}]},{"name":"NSF NRI","award":["1830402"],"award-info":[{"award-number":["1830402"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Robot. Autom. Lett."],"published-print":{"date-parts":[[2022,4]]},"DOI":"10.1109\/lra.2022.3142402","type":"journal-article","created":{"date-parts":[[2022,1,13]],"date-time":"2022-01-13T20:30:04Z","timestamp":1642105804000},"page":"1896-1903","source":"Crossref","is-referenced-by-count":38,"title":["DiNNO: Distributed Neural Network Optimization for Multi-Robot Collaborative Learning"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5552-8780","authenticated-orcid":false,"given":"Javier","family":"Yu","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2270-7395","authenticated-orcid":false,"given":"Joseph A.","family":"Vincent","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7871-3663","authenticated-orcid":false,"given":"Mac","family":"Schwager","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1561\/9781601984616"},{"key":"ref2","first-page":"8024","article-title":"PyTorch: An imperative style, high-performance deep learning library","volume-title":"Proc. 33rd Int. Conf. Neural Inf. Process. Syst.","author":"Paszke","year":"2019"},{"key":"ref3","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-6265-282-8"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2021.3098436"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989037"},{"key":"ref7","article-title":"Decentralized multi-agent actor-critic with generative inference","author":"Corder","year":"2019"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2017.8202141"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-05816-6_3"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8460473"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.3048652"},{"key":"ref12","first-page":"1488","article-title":"Distributed environmental modeling and adaptive sampling for multi-robot sensor coverage","volume-title":"Proc. 18th Int. Conf. Auton. Agents MultiAgent Syst.","author":"Luo","year":"2019"},{"key":"ref13","first-page":"5872","article-title":"Fully decentralized multi-agent reinforcement learning with networked agents","volume-title":"Proc. 35th Int. Conf. Mach. Learn.","author":"Zhang","year":"2018"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9560791"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.12681\/eadd\/3778"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2008.2009515"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1137\/14096668X"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2014.2364096"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2016.2525928"},{"key":"ref20","article-title":"A survey of distributed optimization methods for multi-robot systems","author":"Halsted","year":"2021"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2018.2817461"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.arcontrol.2019.05.006"},{"key":"ref23","first-page":"5336","article-title":"Can decentralized algorithms outperform centralized algorithms? A case study for decentralized parallel stochastic gradient descent","volume-title":"Proc. 31st Int. Conf. Neural Inf. Process. Syst.","author":"Lian","year":"2017"},{"key":"ref24","article-title":"Decentralized deep learning with arbitrary communication compression","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Koloskova","year":"2020"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/MLSP.2016.7738894"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s10107-020-01487-0"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/DSW.2019.8755807"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403109"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2015.2436358"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.2970170"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2010.2055862"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2014.2367458"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46128-1_50"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2014.2304432"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.23919\/ACC.2017.7962962"},{"key":"ref36","article-title":"The mnist database of handwritten digits","author":"LeCun","year":"1998"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_24"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00617"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-20205-7_3"},{"key":"ref40","article-title":"Fourier features let networks learn high frequency functions in low dimensional domains","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Tancik","year":"2020"},{"key":"ref41","first-page":"6382","article-title":"Multi-agent actor-critic for mixed cooperative-competitive environments","volume-title":"Proc. 31st Int. Conf. Neural Inf. Process. Syst.","author":"Lowe","year":"2017"},{"key":"ref42","article-title":"Revisiting parameter sharing in multi-agent deep reinforcement learning","author":"Terry","year":"2020"},{"key":"ref43","article-title":"Benchmarking multi-agent deep reinforcement learning algorithms in cooperative tasks","volume-title":"Proc. 35th Conf. Neural Inf. Process. Syst. Datasets Benchmarks Track","author":"Papoudakis","year":"2021"},{"key":"ref44","article-title":"PettingZoo: Gym for multi-agent reinforcement learning","author":"Terry","year":"2020"},{"key":"ref45","article-title":"Proximal policy optimization algorithms","author":"Schulman","year":"2017"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-71682-4_5"}],"container-title":["IEEE Robotics and Automation Letters"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/7083369\/9647862\/9681319-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7083369\/9647862\/09681319.pdf?arnumber=9681319","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,13]],"date-time":"2024-01-13T22:34:47Z","timestamp":1705185287000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9681319\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,4]]},"references-count":46,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/lra.2022.3142402","relation":{},"ISSN":["2377-3766","2377-3774"],"issn-type":[{"value":"2377-3766","type":"electronic"},{"value":"2377-3774","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,4]]}}}