Hybridalpha: An efficient approach for privacy-preserving federated learning
- Runhua Xu
- Nathalie Baracaldo
- et al.
- 2019
- AISec/CCS 2019
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29 results for Yi Zhou
Towards taming the resource and data heterogeneity in federated learning
- Zheng Chai
- Hannan Fayyaz
- et al.
- 2019
- OpML 2019
Adaptive Histogram-based Gradient Boosted Trees For Federated Learning
- Yuya Jeremy Ong
- Yi Zhou
- et al.
- 2020
- INFORMS 2020
Asynchronous decentralized accelerated stochastic gradient descent
- Yi Zhou
- Guanghui Lan
- 2021
- INFORMS 2021
Graph Toplogy Invariant Gradient and Sampling Complexity for Decentralized and Stochastic Optimization
- Yi Zhou
- Guanghui Lan
- et al.
- 2021
- INFORMS 2021
Federated XGBoost on Sample-Wise Non-IID Data
- Katelinh Jones
- Yuya Jeremy Ong
- et al.
- 2022
- Big Data 2022
Granite code models: A family of open foundation models for code intelligence
- Mayank Mishra
- Matthew Stallone
- et al.
- 2024
- arXiv
Graph topology invariant gradient and sampling complexity for decentralized and stochastic optimization
- Guanghui Lan
- Yuyuan Ouyang
- et al.
- 2023
- SIOPT
A Hybrid Approach to Privacy-Preserving Federated Learning: (Extended Abstract)
- Stacey Truex
- Nathalie Baracaldo
- et al.
- 2019
- Informatik-Spektrum