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

5 January 2022

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

8 / 8 papers shown

Title
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 41 4 0 01 Mar 2024
Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression Xiaoyun Li Ping Li FedML 32 4 0 25 Nov 2022
Package for Fast ABC-Boost Ping Li Weijie Zhao 17 6 0 18 Jul 2022
On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond Xiao-Tong Yuan P. Li FedML 18 58 0 10 Jun 2022
On Distributed Adaptive Optimization with Gradient Compression Xiaoyun Li Belhal Karimi Ping Li 13 25 0 11 May 2022
On the Convergence of Decentralized Adaptive Gradient Methods Xiangyi Chen Belhal Karimi Weijie Zhao Ping Li 19 21 0 07 Sep 2021
Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems Weijie Zhao Deping Xie Ronglai Jia Yulei Qian Rui Ding Mingming Sun P. Li MoE 57 150 0 12 Mar 2020
Parameter Hub: a Rack-Scale Parameter Server for Distributed Deep Neural Network Training Liang Luo Jacob Nelson Luis Ceze Amar Phanishayee Arvind Krishnamurthy 64 120 0 21 May 2018