Benchmarking the Effect of Poisoning Defenses on the Security and Bias of Deep Learning Models
- Nathalie Baracaldo Angel
- Farhan Ahmed
- et al.
- 2023
- S&P 2023
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32 results for Yi Zhou
HDFL: A Heterogeneity and Client Dropout-Aware Federated Learning Framework
- Syed Zawad
- Ali Anwar
- et al.
- 2023
- CCGrid 2023
Single-shot General Hyper-parameter Optimization for Federated Learning
- Yi Zhou
- Parikshit Ram
- et al.
- 2023
- ICLR 2023
Heterogeneity-Aware Adaptive Federated Learning Scheduling
- Jingoo Han
- Ahmad Faraz Khan
- et al.
- 2022
- Big Data 2022
Federated XGBoost on Sample-Wise Non-IID Data
- Katelinh Jones
- Yuya Jeremy Ong
- et al.
- 2022
- Big Data 2022
Benchmarking the Effect of Poisoning Defenses on the Security and Bias of the Final Model
- 2022
- NeurIPS 2022
FLoRA: Single-shot Hyper-parameter Optimization for Federated Learning
- Yi Zhou
- Parikshit Ram
- et al.
- 2021
- NeurIPS 2021
FedV: Privacy-Preserving Federated Learning over Vertically Partitioned Data
- Runhua Xu
- Nathalie Baracaldo
- et al.
- 2021
- AISec/CCS 2021
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