Asynchronous decentralized accelerated stochastic gradient descent
- Yi Zhou
- Guanghui Lan
- 2021
- INFORMS 2021
Talk
Publications
33 results for Yi Zhou
LEGATO: A LayerwisE Gradient AggregaTiOn Algorithm for Mitigating Byzantine Attacks in Federated Learning
- Kamala Varma
- Yi Zhou
- et al.
- 2021
- CLOUD 2021
Conference paperDeTrust-FL: Privacy-Preserving Federated Learning in Decentralized Trust Setting
- Runhua Xu
- Nathalie Baracaldo
- et al.
- 2022
- CLOUD 2022
Conference paperTIFF: Tokenized Incentive for Federated Learning
- Jingoo Han
- Ahmad Faraz Khan
- et al.
- 2022
- CLOUD 2022
Conference paperCurse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning
- Syed Zawad
- Ahsan Ali
- et al.
- 2021
- AAAI 2021
Conference paperAddressing Unique Fairness Obstacles within Federated Learning
- Annie Abay
- Ebube Chuba
- et al.
- 2021
- AAAI 2021
Workshop paperAdaptive Histogram-based Gradient Boosted Trees For Federated Learning
- Yuya Jeremy Ong
- Yi Zhou
- et al.
- 2020
- INFORMS 2020
TalkTiFL: A Tier-based Federated Learning System
- Zheng Chai
- Ahsan Ali
- et al.
- 2020
- HPDC 2020
Conference paperA unified variance-reduced accelerated gradient method for convex optimization
- Guanghui Lan
- Zhize Li
- et al.
- 2019
- NeurIPS 2019
Conference paperA hybrid approach to privacy-preserving federated learning
- Stacey Truex
- Thomas Steinke
- et al.
- 2019
- AISec/CCS 2019
Conference paper