Federated Learning: Strategies for Improving Communication Efficiency J Konečný, HB McMahan, FX Yu, P Richtárik, AT Suresh, D Bacon
arXiv preprint arXiv:1610.05492, 2016
3707 2016 Advances and Open Problems in Federated Learning P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ...
3426 2019 cpSGD: Communication-efficient and differentially-private distributed SGD N Agarwal, AT Suresh, F Yu, S Kumar, HB Mcmahan
Neural Information Processing Systems, 2018
381 2018 An Exploration of Parameter Redundancy in Deep Networks with Circulant Projections Y Cheng, FX Yu, R Feris, S Kumar, A Choudhary, SF Chang
International Conference on Computer Vision, 2015
379 * 2015 Distributed Mean Estimation with Limited Communication AT Suresh, FX Yu, HB McMahan, S Kumar
ICML 2017, 2017
276 2017 Designing Category-Level Attributes for Discriminative Visual Recognition FX Yu, L Cao, RS Feris, JR Smith, SF Chang
Computer Vision and Pattern Recognition, 2013
237 2013 Pre-training Tasks for Embedding-based Large-scale Retrieval WC Chang, FX Yu, YW Chang, Y Yang, S Kumar
arXiv preprint arXiv:2002.03932, 2020
222 2020 Orthogonal random features FX Yu, AT Suresh, K Choromanski, D Holtmann-Rice, S Kumar
Advances in Neural Information Processing Systems, 2016
205 2016 Circulant Binary Embedding FX Yu, S Kumar, Y Gong, SF Chang
31st International Conference on Machine Learning (ICML-14), 946--954, 2014
191 2014 A Field Guide to Federated Optimization J Wang, Z Charles, Z Xu, G Joshi, HB McMahan, M Al-Shedivat, G Andrew, ...
arXiv preprint arXiv:2107.06917, 2021
186 2021 Video Event Detection by Inferring Temporal Instance Labels KT Lai, FX Yu, MS Chen, SF Chang
Computer Vision and Pattern Recognition (CVPR), 2014
148 2014 Learning Spread-out Local Feature Descriptors X Zhang, FX Yu, S Kumar, SF Chang
ICCV 2017, 2017
142 2017 Object-based visual sentiment concept analysis and application T Chen, FX Yu, J Chen, Y Cui, YY Chen, SF Chang
Proceedings of the ACM International Conference on Multimedia, 367-376, 2014
138 2014 Deep Transfer Network: Unsupervised Domain Adaptation X Zhang, FX Yu, SF Chang, S Wang
arXiv preprint arXiv:1503.00591, 2015
136 2015 FX Yu, D Liu, S Kumar, T Jebara, SF Chang
the 30rd International Conference on Machine learning (ICML), 2013
124 * 2013 Weak attributes for large-scale image retrieval FX Yu, R Ji, MH Tsai, G Ye, SF Chang
Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on …, 2012
116 2012 Learning Discriminative and Transformation Covariant Local Feature Detectors X Zhang, FX Yu, S Karaman, SF Chang
Computer Vision and Pattern Recognition, 2017
112 2017 AdaCliP: Adaptive Clipping for Private SGD V Pichapati, AT Suresh, FX Yu, SJ Reddi, S Kumar
arXiv preprint arXiv:1908.07643, 2019
84 2019 Self-supervised Learning for Large-scale Item Recommendations T Yao, X Yi, DZ Cheng, F Yu, T Chen, A Menon, L Hong, EH Chi, S Tjoa, ...
arXiv preprint arXiv:2007.12865, 2020
82 2020 Spherical Random Features for Polynomial Kernels J Pennington, XY Felix, S Kumar
Neural Information Processing Systems (NIPS), 2015
78 2015 