{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T19:05:34Z","timestamp":1772823934986,"version":"3.50.1"},"reference-count":31,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1711263"],"award-info":[{"award-number":["U1711263"]}],"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":["U1801266"],"award-info":[{"award-number":["U1801266"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"The Key-Area Research and Development Program of Guangdong Province","award":["2020B0101090005"],"award-info":[{"award-number":["2020B0101090005"]}]},{"name":"Guangdong Provincial Natural Science Foundation of China","award":["2018B030312002"],"award-info":[{"award-number":["2018B030312002"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Parallel Distrib. Syst."],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/tpds.2021.3139191","type":"journal-article","created":{"date-parts":[[2021,12,29]],"date-time":"2021-12-29T23:38:00Z","timestamp":1640821080000},"page":"1-1","source":"Crossref","is-referenced-by-count":11,"title":["Mixing Activations and Labels in Distributed Training for Split Learning"],"prefix":"10.1109","author":[{"given":"Danyang","family":"Xiao","sequence":"first","affiliation":[]},{"given":"Chengang","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Weigang","family":"Wu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref31","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"Proc 3rd Int Conf Learn Representations"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref10","first-page":"103","article-title":"GPipe: Efficient training of giant neural networks using pipeline parallelism","author":"huang","year":"2019","journal-title":"Proc 32th Int Conf Neural Inf Process Syst"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2020.3041474"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/SRDS51746.2020.00017"},{"key":"ref13","article-title":"Extreme URLLC: Vision, challenges, and key enablers","author":"park","year":"2020","journal-title":"CoRR"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3320269.3384740"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW51313.2020.00134"},{"key":"ref16","first-page":"14 747","article-title":"Deep leakage from gradients","author":"zhu","year":"2019","journal-title":"Proc 32th Int Conf Neural Inf Process Syst"},{"key":"ref17","article-title":"Split learning for health: Distributed deep learning without sharing raw patient data","author":"vepakomma","year":"2018","journal-title":"CoRR"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2020.2996273"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/MSEC.2018.2888775"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1995.7.5.1040"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2018.05.003"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/BF02134016"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3060764"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2021.3090331"},{"key":"ref29","first-page":"1565","article-title":"Learning imbalanced datasets with label-distribution-aware margin loss","author":"cao","year":"2019","journal-title":"Proc 32th Int Conf Neural Inf Process Syst"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2020.3040981"},{"key":"ref8","first-page":"1223","article-title":"More effective distributed ML via a stale synchronous parallel parameter server","author":"ho","year":"2013","journal-title":"Proc 26th Int Conf Neural Inf Process Syst"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2020.3009406"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3386367.3431678"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/2640087.2644155"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3360468.3368176"},{"key":"ref20","first-page":"493","article-title":"BatchCrypt: Efficient homomorphic encryption for cross-silo federated learning","author":"zhang","year":"2020","journal-title":"Proc USENIX Annu Tech Conf"},{"key":"ref22","first-page":"1866","article-title":"SplitNet: Learning to semantically split deep networks for parameter reduction and model parallelization","volume":"70","author":"kim","year":"2017","journal-title":"Proc 34th Int Conf Mach Learn"},{"key":"ref21","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume":"54","author":"mcmahan","year":"0","journal-title":"Proc 20th Int Conf Artif Intell Statist"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3319535.3354261"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3341301.3359646"},{"key":"ref26","first-page":"6438","article-title":"Manifold mixup: Better representations by interpolating hidden states","author":"verma","year":"2019","journal-title":"Proc 36th Int Conf Mach Learn"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3450268.3453519"}],"container-title":["IEEE Transactions on Parallel and Distributed Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/71\/4359390\/09665231.pdf?arnumber=9665231","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,26]],"date-time":"2022-05-26T16:01:53Z","timestamp":1653580913000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9665231\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/tpds.2021.3139191","relation":{},"ISSN":["1045-9219","1558-2183","2161-9883"],"issn-type":[{"value":"1045-9219","type":"print"},{"value":"1558-2183","type":"electronic"},{"value":"2161-9883","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}