{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T22:41:51Z","timestamp":1784760111448,"version":"3.55.0"},"reference-count":47,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,6,14]],"date-time":"2021-06-14T00:00:00Z","timestamp":1623628800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,6,14]],"date-time":"2021-06-14T00:00:00Z","timestamp":1623628800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,6,14]],"date-time":"2021-06-14T00:00:00Z","timestamp":1623628800000},"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":[[2021,6,14]]},"DOI":"10.1109\/wf-iot51360.2021.9595167","type":"proceedings-article","created":{"date-parts":[[2021,11,9]],"date-time":"2021-11-09T20:44:20Z","timestamp":1636490660000},"page":"698-703","source":"Crossref","is-referenced-by-count":19,"title":["Energy Disaggregation with Federated and Transfer Learning"],"prefix":"10.1109","author":[{"given":"Qi","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jin","family":"Ye","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenzhan","family":"Song","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zion","family":"Tse","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2017.11.054"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2019.2891160"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)CP.1943-5487.0000108"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.epsr.2017.12.012"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2019.8761429"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM41043.2020.9155494"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.5121\/csit.2016.60108"},{"key":"ref36","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v32i1.11343","article-title":"Transferring decomposed tensors for scalable energy breakdown across regions","author":"batra","year":"2018","journal-title":"Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18)"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/IECON.2014.7049328"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.3390\/en12060992"},{"key":"ref10","first-page":"59","article-title":"Redd: A public data set for energy disaggregation research","volume":"25","author":"kolter","year":"2011","journal-title":"Workshop on Data Mining Applications in Sustainability (SIGKDD)"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1186\/s42162-018-0038-y"},{"key":"ref11","first-page":"2012","article-title":"Blued: A fully labeled public dataset for event-based nonintrusive load monitoring research","author":"filip","year":"2011","journal-title":"SustKDD Workshop on Data Mining Applications in Sustainability"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/2528282.2528293"},{"key":"ref13","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/sdata.2015.7","article-title":"The uk-dale dataset, domestic appliance-level electricity demand and whole-house demand from five uk homes","volume":"2","author":"kelly","year":"2015","journal-title":"Scientific Data"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1038\/sdata.2018.48"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2018.2865702"},{"key":"ref16","article-title":"Federated learning: Strategies for improving communication efficiency","author":"kone?n?","year":"2016","journal-title":"arXiv preprint arXiv 1610 05492"},{"key":"ref17","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","author":"mcmahan","year":"2017","journal-title":"Artificial Intelligence and Statistics"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2019.2921755"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/2821650.2821672"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2019.8761315"},{"key":"ref4","author":"arghandeh","year":"2017","journal-title":"Big Data Application in Power Systems"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2019.2904348"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/5.192069"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/1864349.1864375"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM38437.2019.9013160"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICAMechS.2019.8861646"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/APSIPA.2016.7820745"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2014.10.040"},{"key":"ref2","article-title":"Sequence-to-point learning with neural networks for nonintrusive load monitoring","author":"zhang","year":"2016","journal-title":"arXiv preprint arXiv 1612 09106"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2011.5735484"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref46","author":"paszke","year":"2017","journal-title":"Automatic differentiation in pytorch"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/2602044.2602051"},{"key":"ref45","first-page":"2825","article-title":"Scikit-learn: Machine learning in Python","volume":"12","author":"pedregosa","year":"2011","journal-title":"Journal of Machine Learning Research"},{"key":"ref22","article-title":"Local sgd converges fast and communicates little","author":"stich","year":"2018","journal-title":"arXiv preprint arXiv 1805 09767"},{"key":"ref47","article-title":"A generic framework for privacy preserving deep learning","author":"ryffel","year":"2018","journal-title":"arXiv preprint arXiv 1811 04017"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2019.2938068"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1049\/joe.2018.8352"},{"key":"ref24","article-title":"Federated optimization in heterogeneous networks","author":"li","year":"2018","journal-title":"arXiv preprint arXiv 1812 11467"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33011150"},{"key":"ref23","article-title":"On the convergence of fedavg on non-iid data","author":"li","year":"2019","journal-title":"arXiv preprint arXiv 1907 09977"},{"key":"ref44","article-title":"Advances and open problems in federated learning","author":"kairouz","year":"2019","journal-title":"arXiv preprint arXiv 1912 04977"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICC40277.2020.9148586"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.2975749"},{"key":"ref25","article-title":"First analysis of local gd on heterogeneous data","author":"khaled","year":"2019","journal-title":"arXiv preprint arXiv 1909 02107"}],"event":{"name":"2021 IEEE 7th World Forum on Internet of Things (WF-IoT)","location":"New Orleans, LA, USA","start":{"date-parts":[[2021,6,14]]},"end":{"date-parts":[[2021,7,31]]}},"container-title":["2021 IEEE 7th World Forum on Internet of Things (WF-IoT)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9594899\/9594917\/09595167.pdf?arnumber=9595167","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,12]],"date-time":"2023-11-12T12:20:34Z","timestamp":1699791634000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9595167\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,14]]},"references-count":47,"URL":"https:\/\/doi.org\/10.1109\/wf-iot51360.2021.9595167","relation":{},"subject":[],"published":{"date-parts":[[2021,6,14]]}}}