| Advances and open problems in federated learning P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ... arXiv preprint arXiv:1912.04977, 2019 | 378 | 2019 |
| Atomo: Communication-efficient learning via atomic sparsification H Wang, S Sievert, S Liu, Z Charles, D Papailiopoulos, S Wright Advances in Neural Information Processing Systems 31, 9850-9861, 2018 | 106 | 2018 |
| Draco: Byzantine-resilient distributed training via redundant gradients L Chen, H Wang, Z Charles, D Papailiopoulos arXiv preprint arXiv:1803.09877, 2018 | 97* | 2018 |
| Approximate gradient coding via sparse random graphs Z Charles, D Papailiopoulos, J Ellenberg arXiv preprint arXiv:1711.06771, 2017 | 42 | 2017 |
| Adaptive Federated Optimization S Reddi, Z Charles, M Zaheer, Z Garrett, K Rush, J Konečnư, S Kumar, ... arXiv preprint arXiv:2003.00295, 2020 | 41 | 2020 |
| Stability and generalization of learning algorithms that converge to global optima Z Charles, D Papailiopoulos International Conference on Machine Learning, 745-754, 2018 | 35 | 2018 |
| DETOX: A redundancy-based framework for faster and more robust gradient aggregation S Rajput, H Wang, Z Charles, D Papailiopoulos Advances in Neural Information Processing Systems, 10320-10330, 2019 | 26 | 2019 |
| Gradient coding using the stochastic block model Z Charles, D Papailiopoulos 2018 IEEE International Symposium on Information Theory (ISIT), 1998-2002, 2018 | 23* | 2018 |
| Erasurehead: Distributed gradient descent without delays using approximate gradient coding H Wang, Z Charles, D Papailiopoulos arXiv preprint arXiv:1901.09671, 2019 | 17 | 2019 |
| Does data augmentation lead to positive margin? S Rajput, Z Feng, Z Charles, PL Loh, D Papailiopoulos arXiv preprint arXiv:1905.03177, 2019 | 14 | 2019 |
| Advances and open problems in federated learning. arXiv 2019 P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ... arXiv preprint arXiv:1912.04977, 0 | 11 | |
| A geometric perspective on the transferability of adversarial directions Z Charles, H Rosenberg, D Papailiopoulos The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 10 | 2019 |
| Sparse subspace clustering with missing and corrupted data Z Charles, A Jalali, R Willett 2018 IEEE Data Science Workshop (DSW), 180-184, 2018 | 9* | 2018 |
| Nonpositive eigenvalues of hollow, symmetric, nonnegative matrices ZB Charles, M Farber, CR Johnson, L Kennedy-Shaffer SIAM Journal on Matrix Analysis and Applications 34 (3), 1384-1400, 2013 | 9 | 2013 |
| Distributions of the number of solutions to the network power flow equations A Zachariah, Z Charles, N Boston, B Lesieutre 2018 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2018 | 7 | 2018 |
| Convergence and margin of adversarial training on separable data Z Charles, S Rajput, S Wright, D Papailiopoulos arXiv preprint arXiv:1905.09209, 2019 | 5 | 2019 |
| On the outsized importance of learning rates in local update methods Z Charles, J Konečnư arXiv preprint arXiv:2007.00878, 2020 | 4 | 2020 |
| Efficiently finding all power flow solutions to tree networks A Zachariah, Z Charles 2017 55th Annual Allerton Conference on Communication, Control, and …, 2017 | 1 | 2017 |
| Nonpositive eigenvalues of the adjacency matrix and lower bounds for Laplacian eigenvalues ZB Charles, M Farber, CR Johnson, L Kennedy-Shaffer Discrete Mathematics 313 (13), 1441-1451, 2013 | 1 | 2013 |
| The relation between the diagonal entries and the eigenvalues of a symmetric matrix, based upon the sign pattern of its off-diagonal entries ZB Charles, M Farber, CR Johnson, L Kennedy-Shaffer Linear Algebra and its Applications 438 (3), 1427-1445, 2013 | 1 | 2013 |
Dimitris PapailiopoulosAssistant Professor, University of Wisconsin-MadisonVerified email at papail.io
