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The 2021 schedule is still incomplete
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Oral
Wed Jul 21 11:00 AM -- 11:20 AM (KST)
ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training
In Large Scale Optimization
Jianfei Chen · Lianmin Zheng · Zhewei Yao · Dequan Wang · Ion Stoica · Michael Mahoney · Joseph E Gonzalez
[ Paper ]
Spotlight
Wed Jul 21 11:20 AM -- 11:25 AM (KST)
Householder Sketch for Accurate and Accelerated Least-Mean-Squares Solvers
In Large Scale Optimization
Jyotikrishna Dass · Rabi Mahapatra
[ Paper ]
Spotlight
Wed Jul 21 11:25 AM -- 11:30 AM (KST)
Accumulated Decoupled Learning with Gradient Staleness Mitigation for Convolutional Neural Networks
In Large Scale Optimization
Huiping Zhuang · Zhenyu Weng · Fulin Luo · Kar-Ann Toh · Haizhou Li · Zhiping Lin
[ Paper ]
Spotlight
Wed Jul 21 11:30 AM -- 11:35 AM (KST)
Training Graph Neural Networks with 1000 Layers
In Large Scale Optimization
Guohao Li · Matthias Müller · Bernard Ghanem · Vladlen Koltun
[ Paper ]
Spotlight
Wed Jul 21 11:35 AM -- 11:40 AM (KST)
1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed
In Large Scale Optimization
Hanlin Tang · Shaoduo Gan · Ammar Ahmad Awan · Samyam Rajbhandari · Conglong Li · Xiangru Lian · Ji Liu · Ce Zhang · Yuxiong He
[ Paper ]
Spotlight
Wed Jul 21 11:40 AM -- 11:45 AM (KST)
Federated Deep AUC Maximization for Hetergeneous Data with a Constant Communication Complexity
In Large Scale Optimization
Zhuoning Yuan · Zhishuai Guo · Yi Xu · Yiming Ying · Tianbao Yang
[ Paper ]
Spotlight
Wed Jul 21 11:45 AM -- 11:50 AM (KST)
Ditto: Fair and Robust Federated Learning Through Personalization
In Large Scale Optimization
Tian Li · Shengyuan Hu · Ahmad Beirami · Virginia Smith
[ Paper ]
Q&A
Wed Jul 21 11:50 AM -- 11:55 AM (KST)
Q&A
In Large Scale Optimization