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2010.08899
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Training Recommender Systems at Scale: Communication-Efficient Model and Data Parallelism
Knowledge Discovery and Data Mining (KDD), 2020
18 October 2020
Vipul Gupta
Dhruv Choudhary
P. T. P. Tang
Xiaohan Wei
Xing Wang
Yuzhen Huang
A. Kejariwal
Kannan Ramchandran
Michael W. Mahoney
Re-assign community
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Papers citing
"Training Recommender Systems at Scale: Communication-Efficient Model and Data Parallelism"
15 / 15 papers shown
SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding
Peihua Mai
Youlong Ding
Ziyan Lyu
Minxin Du
Yan Pang
FedML
307
0
0
18 May 2025
SCRec: A Scalable Computational Storage System with Statistical Sharding and Tensor-train Decomposition for Recommendation Models
Jinho Yang
Ji-Hoon Kim
Joo-Young Kim
286
1
0
01 Apr 2025
Integrating LLMs with ITS: Recent Advances, Potentials, Challenges, and Future Directions
Doaa Mahmud
Hadeel Hajmohamed
Shamma Almentheri
Shamma Alqaydi
Lameya Aldhaheri
R. A. Khalil
Nasir Saeed
AI4TS
295
56
0
08 Jan 2025
DQRM: Deep Quantized Recommendation Models
Yang Zhou
Zhen Dong
Ellick Chan
Dhiraj Kalamkar
Diana Marculescu
Kurt Keutzer
MQ
423
4
0
26 Oct 2024
GraphScale: A Framework to Enable Machine Learning over Billion-node Graphs
Vipul Gupta
Xin Chen
Ruoyun Huang
Fanlong Meng
Jianjun Chen
Yujun Yan
GNN
240
6
0
22 Jul 2024
Activations and Gradients Compression for Model-Parallel Training
Doklady. Mathematics (Dokl. Math.), 2023
Mikhail Rudakov
Aleksandr Beznosikov
Yaroslav Kholodov
Alexander Gasnikov
487
5
0
15 Jan 2024
Towards Efficient Communication and Secure Federated Recommendation System via Low-rank Training
The Web Conference (WWW), 2024
Ngoc-Hieu Nguyen
Tuan Nguyen
Tuan Nguyen
Vu Tien Hoang
Dung D. Le
Kok-Seng Wong
FedML
140
32
0
08 Jan 2024
MP-Rec: Hardware-Software Co-Design to Enable Multi-Path Recommendation
International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2023
Samuel Hsia
Udit Gupta
Bilge Acun
Newsha Ardalani
Pan Zhong
Gu-Yeon Wei
David Brooks
Carole-Jean Wu
244
20
0
21 Feb 2023
A GPU-specialized Inference Parameter Server for Large-Scale Deep Recommendation Models
ACM Conference on Recommender Systems (RecSys), 2022
Yingcan Wei
Matthias Langer
F. Yu
Minseok Lee
Kingsley Liu
Ji Shi
Zehuan Wang
BDL
135
29
0
17 Oct 2022
Merlin HugeCTR: GPU-accelerated Recommender System Training and Inference
ACM Conference on Recommender Systems (RecSys), 2022
Zehuan Wang
Yingcan Wei
Minseok Lee
Matthias Langer
F. Yu
...
Daniel G. Abel
Xu Guo
Jianbing Dong
Ji Shi
Kunlun Li
GNN
LRM
194
43
0
17 Oct 2022
BagPipe: Accelerating Deep Recommendation Model Training
Symposium on Operating Systems Principles (SOSP), 2022
Saurabh Agarwal
Chengpo Yan
Ziyi Zhang
Shivaram Venkataraman
256
33
0
24 Feb 2022
Click-Through Rate Prediction in Online Advertising: A Literature Review
Information Processing & Management (IPM), 2022
Yanwu Yang
Panyu Zhai
CML
3DV
294
146
0
22 Feb 2022
A Machine Learning Framework for Distributed Functional Compression over Wireless Channels in IoT
Yashas Malur Saidutta
Afshin Abdi
Faramarz Fekri
AI4CE
285
5
0
24 Jan 2022
RecPipe: Co-designing Models and Hardware to Jointly Optimize Recommendation Quality and Performance
Micro (MICRO), 2021
Udit Gupta
Samuel Hsia
J. Zhang
Mark Wilkening
Javin Pombra
Hsien-Hsin S. Lee
Gu-Yeon Wei
Carole-Jean Wu
David Brooks
336
34
0
18 May 2021
Training Large-Scale News Recommenders with Pretrained Language Models in the Loop
Knowledge Discovery and Data Mining (KDD), 2021
Shitao Xiao
Zheng Liu
Yingxia Shao
Tao Di
Xing Xie
VLM
AIFin
329
54
0
18 Feb 2021
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