Zachary Charles
Title
Cited by
Cited by
Year
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
3782019
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
1062018
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
422017
Adaptive Federated Optimization
S Reddi, Z Charles, M Zaheer, Z Garrett, K Rush, J Konečnư, S Kumar, ...
arXiv preprint arXiv:2003.00295, 2020
412020
Stability and generalization of learning algorithms that converge to global optima
Z Charles, D Papailiopoulos
International Conference on Machine Learning, 745-754, 2018
352018
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
262019
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
172019
Does data augmentation lead to positive margin?
S Rajput, Z Feng, Z Charles, PL Loh, D Papailiopoulos
arXiv preprint arXiv:1905.03177, 2019
142019
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
102019
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
92013
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
72018
Convergence and margin of adversarial training on separable data
Z Charles, S Rajput, S Wright, D Papailiopoulos
arXiv preprint arXiv:1905.09209, 2019
52019
On the outsized importance of learning rates in local update methods
Z Charles, J Konečnư
arXiv preprint arXiv:2007.00878, 2020
42020
Efficiently finding all power flow solutions to tree networks
A Zachariah, Z Charles
2017 55th Annual Allerton Conference on Communication, Control, and …, 2017
12017
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
12013
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
12013
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