Search Results for author:
Found 3 papers, 1 papers with code
Remove that Square Root: A New Efficient Scale-Invariant Version of AdaGrad
Adaptive methods are extremely popular in machine learning as they make learning rate tuning less expensive.
Federated Learning Can Find Friends That Are Beneficial
In Federated Learning (FL), the distributed nature and heterogeneity of client data present both opportunities and challenges.
On a Combination of Alternating Minimization and Nesterov's Momentum
In this paper we combine AM and Nesterov's acceleration to propose an accelerated alternating minimization algorithm.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
