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Found 4 papers, 2 papers with code
Low-Resource Machine Translation through the Lens of Personalized Federated Learning
We present a new approach based on the Personalized Federated Learning algorithm MeritFed that can be applied to Natural Language Tasks with heterogeneous data.
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 Advantageous
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.
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