{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T15:48:47Z","timestamp":1780674527209,"version":"3.54.1"},"reference-count":30,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,5,17]],"date-time":"2023-05-17T00:00:00Z","timestamp":1684281600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,5,17]],"date-time":"2023-05-17T00:00:00Z","timestamp":1684281600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,5,17]]},"DOI":"10.1109\/infocom53939.2023.10229042","type":"proceedings-article","created":{"date-parts":[[2023,8,29]],"date-time":"2023-08-29T17:40:43Z","timestamp":1693330843000},"page":"1-10","source":"Crossref","is-referenced-by-count":7,"title":["SVDFed: Enabling Communication-Efficient Federated Learning via Singular-Value-Decomposition"],"prefix":"10.1109","author":[{"given":"Haolin","family":"Wang","sequence":"first","affiliation":[{"name":"Beihang University,State Key Laboratory of Virtual Reality Technology and Systems,School of Computer Science and Engineering,Beijing,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xuefeng","family":"Liu","sequence":"additional","affiliation":[{"name":"Beihang University,State Key Laboratory of Virtual Reality Technology and Systems,School of Computer Science and Engineering,Beijing,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianwei","family":"Niu","sequence":"additional","affiliation":[{"name":"Beihang University,State Key Laboratory of Virtual Reality Technology and Systems,School of Computer Science and Engineering,Beijing,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shaojie","family":"Tang","sequence":"additional","affiliation":[{"name":"Naveen Jindal School Management University of Texas at Dallas Richardson,USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","article-title":"Learned gradient compression for distributed deep learning","author":"abrahamyan","year":"2021","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/BF01462265"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/MLHPC.2016.004"},{"key":"ref14","article-title":"Atomo: Communication-efficient learning via atomic sparsi-fication","volume":"31","author":"wang","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref30","article-title":"Bringing hpc techniques to deep learning","author":"gibiansky","year":"2017","journal-title":"Baidu Research Tech Rep"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-496952-0.50023-4"},{"key":"ref10","first-page":"1832","article-title":"Characterizing implicit bias in terms of optimization geometry","author":"gunasekar","year":"2018","journal-title":"International Conference on Machine Learning"},{"key":"ref2","article-title":"Qsgd: Communication-efficient sgd via gradient quantization and encoding","volume":"30","author":"alistarh","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref1","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":"ref17","article-title":"Dorefa-net: Training low bitwidth convolutional neural networks with low bitwidth gradients","author":"zhou","year":"2016"},{"key":"ref16","article-title":"Terngrad: Ternary gradients to reduce communication in distributed deep learning","volume":"30","author":"wen","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref19","article-title":"Federated learning: Strategies for improving communication efficiency","author":"kone?n?","year":"2016"},{"key":"ref18","article-title":"Gradiveq: Vector quantization for bandwidth-efficient gradient aggregation in distributed cnn training","volume":"31","author":"yu","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref24","first-page":"1","article-title":"Cifar-10 (canadian institute for advanced research)","volume":"5","author":"krizhevsky","year":"2010"},{"key":"ref23","article-title":"The mnist database of handwritten digits","author":"lecun","year":"1998"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref25","article-title":"Learning multiple layers of features from tiny images","author":"krizhevsky","year":"2009"},{"key":"ref20","article-title":"Powersgd: Practical low-rank gradient compression for distributed optimization","volume":"32","author":"vogels","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015693"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1177\/1094342005051521"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1016\/j.jpdc.2008.09.002","article-title":"Bandwidth optimal all-reduce algorithms for clusters of workstations","volume":"69","author":"patarasuk","year":"2009","journal-title":"Journal of Parallel and Distributed Computing"},{"key":"ref29","article-title":"Accurate, large minibatch sgd: Training imagenet in 1 hour","author":"goyal","year":"2017"},{"key":"ref8","first-page":"1","article-title":"Implicit self-regularization in deep neural networks: Evidence from random matrix theory and implications for learning","volume":"22","author":"martin","year":"2021","journal-title":"Journal of Machine Learning Research"},{"key":"ref7","first-page":"1188","article-title":"Sketchy decisions: Convex low-rank matrix optimization with optimal storage","author":"yurtsever","year":"2017","journal-title":"Artificial Intelligence and Statistics"},{"key":"ref9","first-page":"2","article-title":"Algorithmic regularization in overparameterized matrix sensing and neural networks with quadratic activations","author":"li","year":"2018","journal-title":"Conference on Learning Theory"},{"key":"ref4","first-page":"3252","article-title":"Error feedback fixes signsgd and other gradient compression schemes","author":"karimireddy","year":"2019","journal-title":"International Conference on Machine Learning"},{"key":"ref3","first-page":"560","article-title":"signsgd: Compressed optimisation for non-convex problems","author":"bernstein","year":"2018","journal-title":"International Conference on Machine Learning"},{"key":"ref6","article-title":"Sparsified sgd with memory","volume":"31","author":"stich","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref5","article-title":"Gradient sparsification for communication-efficient distributed optimization","volume":"31","author":"wangni","year":"2018","journal-title":"Advances in neural information processing systems"}],"event":{"name":"IEEE INFOCOM 2023 - IEEE Conference on Computer Communications","location":"New York City, NY, USA","start":{"date-parts":[[2023,5,17]]},"end":{"date-parts":[[2023,5,20]]}},"container-title":["IEEE INFOCOM 2023 - IEEE Conference on Computer Communications"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10228851\/10228852\/10229042.pdf?arnumber=10229042","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,18]],"date-time":"2023-09-18T17:44:56Z","timestamp":1695059096000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10229042\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,17]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/infocom53939.2023.10229042","relation":{},"subject":[],"published":{"date-parts":[[2023,5,17]]}}}