| Advances and Open Problems in Federated Learning P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ... | 7208 | 2019 |
| 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 | 6090 | 2016 |
| cpSGD: Communication-efficient and differentially-private distributed SGD N Agarwal, AT Suresh, F Yu, S Kumar, HB Mcmahan Neural Information Processing Systems, 2018 | 563 | 2018 |
| 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 | 415 | 2021 |
| Distributed Mean Estimation with Limited Communication AT Suresh, FX Yu, HB McMahan, S Kumar ICML 2017, 2017 | 404 | 2017 |
| 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 | 401 | 2015 |
| 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 | 347 | 2020 |
| 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 | 273 | 2020 |
| Orthogonal random features FX Yu, AT Suresh, K Choromanski, D Holtmann-Rice, S Kumar Advances in Neural Information Processing Systems, 2016 | 259 | 2016 |
| Designing Category-Level Attributes for Discriminative Visual Recognition FX Yu, L Cao, RS Feris, JR Smith, SF Chang Computer Vision and Pattern Recognition, 2013 | 241 | 2013 |
| Federated learning: Strategies for improving communication efficiency J Konecný, HB McMahan, FX Yu, P Richtárik, AT Suresh, D Bacon arXiv preprint arXiv:1610.05492, 2016 | 192* | 2016 |
| Deep Transfer Network: Unsupervised Domain Adaptation X Zhang, FX Yu, SF Chang, S Wang arXiv preprint arXiv:1503.00591, 2015 | 183 | 2015 |
| Modifying Memories in Transformer Models C Zhu, AS Rawat, M Zaheer, S Bhojanapalli, D Li, F Yu, S Kumar arXiv preprint arXiv:2012.00363, 2020 | 182 | 2020 |
| Circulant Binary Embedding FX Yu, S Kumar, Y Gong, SF Chang 31st International Conference on Machine Learning (ICML-14), 946--954, 2014 | 181 | 2014 |
| Learning Spread-out Local Feature Descriptors X Zhang, FX Yu, S Kumar, SF Chang ICCV 2017, 2017 | 172 | 2017 |
| Video Event Detection by Inferring Temporal Instance Labels KT Lai, FX Yu, MS Chen, SF Chang Computer Vision and Pattern Recognition (CVPR), 2014 | 166 | 2014 |
| Federated learning: Strategies for improving communication efficiency. arXiv J Konečný, HB McMahan, FX Yu, P Richtárik, AT Suresh, D Bacon arXiv preprint arXiv:1610.05492 10, 2016 | 155 | 2016 |
| 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 | 154 | 2014 |
| Learning Discriminative and Transformation Covariant Local Feature Detectors X Zhang, FX Yu, S Karaman, SF Chang Computer Vision and Pattern Recognition, 2017 | 153 | 2017 |
| AdaCliP: Adaptive Clipping for Private SGD V Pichapati, AT Suresh, FX Yu, SJ Reddi, S Kumar arXiv preprint arXiv:1908.07643, 2019 | 145 | 2019 |