SLSGD: Secure and Efficient Distributed On-device Machine Learning

By Cong Xie, Oluwasanmi Koyejo, Indranil Gupta. 2019

62 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Cong Xie
2. Oluwasanmi Koyejo
3. Indranil Gupta
4. Chris J. M. Yoon
5. Clement Fung
6. Ivan Beschastnikh
7. Lifeng Lai
8. Xinyang Cao

In Information Systems

1. Indranil Gupta
2. Oluwasanmi Koyejo
3. Cong Xie
4. Chris J. M. Yoon
5. Clement Fung
6. Ivan Beschastnikh

Citations in the corpus

• Zeno++: Robust Fully Asynchronous SGD (2019, methodology): “…tolerance to Byzantine failures (Blanchard et al., 2017; Chen et al., 2017; Yin et al., 2018; Feng et al., 2014; Su & Vaidya, 2016; 2018; Xie et al., 2019b; Alistarh et al., 2018; Cao & Lai, 2018; Xie et al., 2019c) has become an important topic in the distributed machine learning…”
• The Limitations of Federated Learning in Sybil Settings (2020, background): “Existing work has explored several ways to defend the FL training process [9, 50, 60, 61].”