南方科技大学知识苑(SUSTech KC): FEC: Efficient Deep Recommendation Model Training with Flexible Embedding Communication

题名	FEC: Efficient Deep Recommendation Model Training with Flexible Embedding Communication
作者	Kaihao,Ma 1; Xiao,Yan2 ; Zhenkun,Cai 1; Yuzhen,Huang 3; Yidi,Wu 3; James,Cheng 1,4
通讯作者	Xiao,Yan
发表日期	2023-06-20
DOI	10.1145/3589310
发表期刊	Proceedings of the ACM on Management of Data 影响因子和分区
ISSN	2836-6573
卷号	1 期号:2页码:1-21
相关链接	[来源记录]
收录类别	Others
语种	英语
学校署名	通讯
出版者	Association for Computing Machinery (ACM)
来源库	人工提交
全文链接	https://dl.acm.org/doi/pdf/10.1145/3589310
引用统计
成果类型	期刊论文
条目标识符	http://sustech.caswiz.com/handle/2SGJ60CL/647006
专题	工学院_计算机科学与工程系
作者单位	1.The Chinese University of Hong Kong, Hong Kong 2.Southern University of Science and Technology, China 3.Meta, USA 4.KASMA PTE. LTD., Singapore
通讯作者单位	南方科技大学
推荐引用方式 GB/T 7714	Kaihao,Ma,Xiao,Yan,Zhenkun,Cai,et al. FEC: Efficient Deep Recommendation Model Training with Flexible Embedding Communication[J]. Proceedings of the ACM on Management of Data,2023,1(2):1-21.
APA	Kaihao,Ma,Xiao,Yan,Zhenkun,Cai,Yuzhen,Huang,Yidi,Wu,&James,Cheng.(2023).FEC: Efficient Deep Recommendation Model Training with Flexible Embedding Communication.Proceedings of the ACM on Management of Data,1(2),1-21.
MLA	Kaihao,Ma,et al."FEC: Efficient Deep Recommendation Model Training with Flexible Embedding Communication".Proceedings of the ACM on Management of Data 1.2(2023):1-21.