Yi Zhou
Yi Zhou
Research Staff Member, IBM Research
Verifierad e-postadress på ibm.com
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An optimal randomized incremental gradient method
G Lan, Y Zhou
Mathematical programming, 1-49, 2017
1862017
Communication-efficient algorithms for decentralized and stochastic optimization
G Lan, S Lee, Y Zhou
Mathematical Programming, 1-48, 2017
1312017
Conditional gradient sliding for convex optimization
G Lan, Y Zhou
SIAM Journal on Optimization 26 (2), 1379-1409, 2016
1112016
A hybrid approach to privacy-preserving federated learning
S Truex, N Baracaldo, A Anwar, T Steinke, H Ludwig, R Zhang, Y Zhou
Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security …, 2019
962019
A unified variance-reduced accelerated gradient method for convex optimization
G Lan, Z Li, Y Zhou
Advances in Neural Information Processing Systems, 10462-10472, 2019
312019
Random gradient extrapolation for distributed and stochastic optimization
G Lan, Y Zhou
SIAM Journal on Optimization 28 (4), 2753-2782, 2018
262018
Conditional accelerated lazy stochastic gradient descent
G Lan, S Pokutta, Y Zhou, D Zink
arXiv preprint arXiv:1703.05840, 2017
252017
Hybridalpha: An efficient approach for privacy-preserving federated learning
R Xu, N Baracaldo, Y Zhou, A Anwar, H Ludwig
Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security …, 2019
242019
Towards Taming the Resource and Data Heterogeneity in Federated Learning
Z Chai, H Fayyaz, Z Fayyaz, A Anwar, Y Zhou, N Baracaldo, H Ludwig, ...
2019 {USENIX} Conference on Operational Machine Learning (OpML 19), 19-21, 2019
172019
TiFL: A Tier-based Federated Learning System
Z Chai, A Ali, S Zawad, S Truex, A Anwar, N Baracaldo, Y Zhou, H Ludwig, ...
arXiv preprint arXiv:2001.09249, 2020
102020
IBM Federated Learning: an Enterprise Framework White Paper V0. 1
H Ludwig, N Baracaldo, G Thomas, Y Zhou, A Anwar, S Rajamoni, Y Ong, ...
arXiv preprint arXiv:2007.10987, 2020
32020
Asynchronous decentralized accelerated stochastic gradient descent
G Lan, Y Zhou
arXiv preprint arXiv:1809.09258, 2018
32018
Graph topology invariant gradient and sampling complexity for decentralized and stochastic optimization
G Lan, Y Ouyang, Y Zhou
arXiv preprint arXiv:2101.00143, 2020
2020
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Artiklar 1–13