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Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank?


Feb 01, 2022
Sheikh Shams Azam, Seyyedali Hosseinalipour, Qiang Qiu, Christopher Brinton

* In Proceedings of the 10th International Conference on Learning Representations (ICLR) 2022 

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Exploiting a Zoo of Checkpoints for Unseen Tasks


Nov 05, 2021
Jiaji Huang, Qiang Qiu, Kenneth Church

* Accepted in Neurips 2021 

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TESSERACT: Gradient Flip Score to Secure Federated Learning Against Model Poisoning Attacks


Oct 19, 2021
Atul Sharma, Wei Chen, Joshua Zhao, Qiang Qiu, Somali Chaterji, Saurabh Bagchi

* 12 pages 

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Adaptive Convolutions with Per-pixel Dynamic Filter Atom


Aug 17, 2021
Ze Wang, Zichen Miao, Jun Hu, Qiang Qiu


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Cirrus: A Long-range Bi-pattern LiDAR Dataset


Dec 05, 2020
Ze Wang, Sihao Ding, Ying Li, Jonas Fenn, Sohini Roychowdhury, Andreas Wallin, Lane Martin, Scott Ryvola, Guillermo Sapiro, Qiang Qiu


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Using Text to Teach Image Retrieval


Nov 19, 2020
Haoyu Dong, Ze Wang, Qiang Qiu, Guillermo Sapiro


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Learning to Learn Variational Semantic Memory


Oct 20, 2020
Xiantong Zhen, Yingjun Du, Huan Xiong, Qiang Qiu, Cees G. M. Snoek, Ling Shao

* accepted to NeurIPS 2020; code is available in https://github.com/YDU-uva/VSM 

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ACDC: Weight Sharing in Atom-Coefficient Decomposed Convolution


Sep 04, 2020
Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, Qiang Qiu


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Graph Neural Networks with Low-rank Learnable Local Filters


Aug 04, 2020
Xiuyuan Cheng, Zichen Miao, Qiang Qiu


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Learning to Learn with Variational Information Bottleneck for Domain Generalization


Jul 15, 2020
Yingjun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G. M. Snoek, Ling Shao

* 15 pages, 4 figures, ECCV2020 

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