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Communication-Efficient TeraByte-Scale Model Training Framework for
  Online Advertising

Communication-Efficient TeraByte-Scale Model Training Framework for Online Advertising

5 January 2022
Weijie Zhao
Xuewu Jiao
Mingqing Hu
Xiaoyun Li
Xinming Zhang
Ping Li
    3DV
ArXiv (abs)PDFHTMLGithub

Papers citing "Communication-Efficient TeraByte-Scale Model Training Framework for Online Advertising"

6 / 6 papers shown
Disaggregated Multi-Tower: Topology-aware Modeling Technique for
  Efficient Large-Scale Recommendation
Disaggregated Multi-Tower: Topology-aware Modeling Technique for Efficient Large-Scale Recommendation
Liang Luo
Buyun Zhang
Michael Tsang
Yinbin Ma
Ching-Hsiang Chu
...
Guna Lakshminarayanan
Ellie Wen
Jongsoo Park
Dheevatsa Mudigere
Maxim Naumov
300
5
0
01 Mar 2024
Analysis of Error Feedback in Federated Non-Convex Optimization with
  Biased Compression
Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression
Xiaoyun Li
Ping Li
FedML
269
6
0
25 Nov 2022
Package for Fast ABC-Boost
Package for Fast ABC-Boost
Ping Li
Weijie Zhao
309
7
0
18 Jul 2022
On Convergence of FedProx: Local Dissimilarity Invariant Bounds,
  Non-smoothness and Beyond
On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and BeyondNeural Information Processing Systems (NeurIPS), 2022
Xiao-Tong Yuan
P. Li
FedML
241
107
0
10 Jun 2022
On Distributed Adaptive Optimization with Gradient Compression
On Distributed Adaptive Optimization with Gradient CompressionInternational Conference on Learning Representations (ICLR), 2022
Xiaoyun Li
Belhal Karimi
Ping Li
233
33
0
11 May 2022
On the Convergence of Decentralized Adaptive Gradient Methods
On the Convergence of Decentralized Adaptive Gradient MethodsAsian Conference on Machine Learning (ACML), 2021
Xiangyi Chen
Belhal Karimi
Weijie Zhao
Ping Li
223
33
0
07 Sep 2021
1
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