-
Learning from History for Byzantine Robust Optimization
Byzantine robustness has received significant attention recently given i...
12/18/2020 ∙ by Sai Praneeth Karimireddy, et al. ∙
0
∙
share
read it
-
Byzantine-Robust Learning on Heterogeneous Datasets via Resampling
In Byzantine robust distributed optimization, a central server wants to ...
06/16/2020 ∙ by Lie He, et al. ∙
0
∙
share
read it
-
Secure Byzantine-Robust Machine Learning
Increasingly machine learning systems are being deployed to edge servers...
06/08/2020 ∙ by Lie He, et al. ∙
0
∙
share
read it
-
Advances and Open Problems in Federated Learning
Federated learning (FL) is a machine learning setting where many clients...
12/10/2019 ∙ by Peter Kairouz, et al. ∙
33
∙
share
read it
-
COLA: Communication-Efficient Decentralized Linear Learning
Decentralized machine learning is a promising emerging paradigm in view ...
08/13/2018 ∙ by Lie He, et al. ∙
0
∙
share
read it
