no code implementations • 9 Mar 2020 • Tran Thi Phuong, Le Trieu Phong
We show that the convergence proof of a recent algorithm called dist-EF-SGD for distributed stochastic gradient descent with communication efficiency using error-feedback of Zheng et al. (NeurIPS 2019) is problematic mathematically.
no code implementations • 7 Apr 2019 • Tran Thi Phuong, Le Trieu Phong
This is also the neglected issue in the convergence proof of Adam.
no code implementations • 10 Sep 2018 • Le Trieu Phong, Tran Thi Phuong
This paper considers the scenario that multiple data owners wish to apply a machine learning method over the combined dataset of all owners to obtain the best possible learning output but do not want to share the local datasets owing to privacy concerns.