{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:12:49Z","timestamp":1740100369576,"version":"3.37.3"},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,8,30]],"date-time":"2021-08-30T00:00:00Z","timestamp":1630281600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,8,30]],"date-time":"2021-08-30T00:00:00Z","timestamp":1630281600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,8,30]],"date-time":"2021-08-30T00:00:00Z","timestamp":1630281600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100003816","name":"Huawei Technologies","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003816","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005049","name":"Science and Engineering Research Council","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100005049","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,8,30]]},"DOI":"10.1109\/istc49272.2021.9594251","type":"proceedings-article","created":{"date-parts":[[2021,11,11]],"date-time":"2021-11-11T20:34:29Z","timestamp":1636662869000},"page":"1-5","source":"Crossref","is-referenced-by-count":0,"title":["Exploitation of temporal structure in momentum-SGD for gradient compression"],"prefix":"10.1109","author":[{"given":"Tharindu","family":"Adikari","sequence":"first","affiliation":[]},{"given":"Stark","family":"Draper","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2015-354"},{"journal-title":"Sparse Communication for Distributed Gradient Descent","year":"2017","author":"aji","key":"ref11"},{"journal-title":"Deep Gradient Compression Reducing the Communication Bandwidth for Distributed Training","year":"2017","author":"lin","key":"ref12"},{"key":"ref13","article-title":"Deep gradient compression: Reducing the communication bandwidth for distributed training","author":"lin","year":"2018","journal-title":"Int Conf Learning Representations"},{"key":"ref14","first-page":"1299","article-title":"Gradient sparsification for communication-efficient distributed optimization","author":"wangni","year":"2018","journal-title":"Advances in Neural Inf Proc Sys"},{"key":"ref15","first-page":"4447","article-title":"Sparsified SGD with memory","author":"stich","year":"2018","journal-title":"Advances in Neural Inf Proc Sys"},{"key":"ref16","article-title":"ATOMO: Communication-efficient learning via atomic sparsification","author":"wang","year":"2018","journal-title":"Advances in Neural Inf Proc Sys"},{"key":"ref17","article-title":"ZipML: Training linear models with end-to-end low precision, and a little bit of deep learning","author":"zhang","year":"2017","journal-title":"Int Conf Machine Learning"},{"journal-title":"Wide residual networks","year":"2016","author":"zagoruyko","key":"ref18"},{"journal-title":"A downsampled variant of imagenet as an alternative to the cifar datasets","year":"2017","author":"chrabaszcz","key":"ref19"},{"key":"ref4","first-page":"1509","article-title":"TernGrad: Ternary gradients to reduce communication in distributed deep learning","author":"wen","year":"2017","journal-title":"Advances in Neural Inf Proc Sys"},{"key":"ref3","first-page":"1709","article-title":"QSGD: Communication-efficient SGD via gradient quantization and encoding","author":"alistarh","year":"2017","journal-title":"Advances in Neural Inf Proc Sys"},{"key":"ref6","article-title":"Gradiveq: Vector quantization for bandwidth-efficient gradient aggregation in distributed cnn training","author":"yu","year":"2018","journal-title":"Advances in Neural Inf Proc Sys"},{"key":"ref5","article-title":"signSGD: Compressed optimisation for non-convex problems","author":"bernstein","year":"2018","journal-title":"Int Conf Machine Learning"},{"key":"ref8","first-page":"11 446","article-title":"Communication-efficient distributed blockwise momentum SGD with error-feedback","author":"zheng","year":"2019","journal-title":"Advances in Neural Inf Proc Sys"},{"key":"ref7","article-title":"Error feedback fixes SignSGD and other gradient compression schemes","author":"karimireddy","year":"2019","journal-title":"Int Conf Machine Learning"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MLHPC.2016.004"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2014-274"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JSAIT.2021.3103494"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1982.1056489"},{"key":"ref22","article-title":"Understanding the difficulty of training deep feedforward neural networks","author":"glorot","year":"2010","journal-title":"Int Conf on Artificial Intelligence and Statistics"},{"journal-title":"Understanding Top-k sparsification in distributed deep learning","year":"2019","author":"shi","key":"ref21"}],"event":{"name":"2021 11th International Symposium on Topics in Coding (ISTC)","start":{"date-parts":[[2021,8,30]]},"location":"Montreal, QC, Canada","end":{"date-parts":[[2021,9,3]]}},"container-title":["2021 11th International Symposium on Topics in Coding (ISTC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9594056\/9594058\/09594251.pdf?arnumber=9594251","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:50:20Z","timestamp":1652201420000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9594251\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,30]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/istc49272.2021.9594251","relation":{},"subject":[],"published":{"date-parts":[[2021,8,30]]}}}