{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,17]],"date-time":"2026-10-17T16:31:38Z","timestamp":1792254698967,"version":"4.4.0"},"reference-count":14,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"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":[[2020,6]]},"DOI":"10.1109\/icc40277.2020.9148987","type":"proceedings-article","created":{"date-parts":[[2020,7,27]],"date-time":"2020-07-27T22:26:45Z","timestamp":1595888805000},"page":"1-7","source":"Crossref","is-referenced-by-count":51,"title":["GGS: General Gradient Sparsification for Federated Learning in Edge Computing"],"prefix":"10.1109","author":[{"given":"Shiqi","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qi","family":"Qi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jingyu","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haifeng","family":"Sun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yujian","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"F. Richard","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","article-title":"Accurate, large minibatch sgd: Training imagenet in 1 hour","author":"goyal","year":"2017","journal-title":"arXiv preprint arXiv 1706 02677"},{"key":"ref11","first-page":"1509","article-title":"Terngrad: Ternary gradients to reduce communication in distributed deep learning","author":"wen","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ALLERTON.2016.7852343"},{"key":"ref13","first-page":"5973","article-title":"The convergence of sparsified gradient methods","author":"alistarh","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref14","article-title":"Smoothout: Smoothing out sharp minima to improve generalization in deep learning","author":"wen","year":"2018","journal-title":"arXiv preprint arXiv 1805 07898"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(98)00116-6"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1045"},{"key":"ref6","first-page":"31","article-title":"Rmsprop: Divide the gradient by a running average of its recent magnitude. coursera: Neural networks for machine learning","author":"tieleman","year":"2012","journal-title":"Tech Rep Technical Report"},{"key":"ref5","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv preprint arXiv 1412 6980"},{"key":"ref8","article-title":"Adaptive gradient methods with dynamic bound of learning rate","author":"luo","year":"2019","journal-title":"arXiv preprint arXiv 1902 05023"},{"key":"ref7","article-title":"On the convergence of adam and beyond","author":"reddi","year":"2019","journal-title":"arXiv preprint arXiv 1904 01870"},{"key":"ref2","article-title":"Deep gradient compression: Reducing the communication bandwidth for distributed training","author":"lin","year":"2017","journal-title":"arXiv preprint arXiv 1712 01887"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2019.2904348"},{"key":"ref9","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"arXiv preprint arXiv 1502 03167"}],"event":{"name":"ICC 2020 - 2020 IEEE International Conference on Communications (ICC)","location":"Dublin, Ireland","start":{"date-parts":[[2020,6,7]]},"end":{"date-parts":[[2020,6,11]]}},"container-title":["ICC 2020 - 2020 IEEE International Conference on Communications (ICC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9141367\/9148588\/09148987.pdf?arnumber=9148987","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,9]],"date-time":"2022-07-09T02:20:26Z","timestamp":1657333226000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9148987\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,6]]},"references-count":14,"URL":"https:\/\/doi.org\/10.1109\/icc40277.2020.9148987","relation":{},"subject":[],"published":{"date-parts":[[2020,6]]}}}