We consider distributed optimization with degenerate loss functions, where the optimal sets of local loss functions have a non-empty intersection.
Jan 11, 2024 · We consider distributed optimization with degenerate loss functions, where the optimal sets of local loss functions have a non-empty ...
Aug 16, 2021 · We consider distributed optimization with degenerate loss functions, where the optimal sets of local loss functions have a non-empty ...
Dec 29, 2021 · Distributed optimization for degenerate loss functions arising from over-parameterization: In this paper, we study how distributed optimization ...
摘要. We consider distributed optimization with degenerate loss functions, where the optimal sets of local loss functions have a non-empty intersection.
Jun 14, 2019 · In this paper, we analyzed the dynamics of distributed gradient descent on degenerate loss functions where the optimal sets of local functions ...
2016. Distributed optimization for degenerate loss functions arising from over-parameterization ... Distributed optimization for over-parameterized learning. C ...
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Distributed optimization for degenerate loss functions arising from over-parameterization: In this paper, we study how distributed optimization changes in ...
Distributed optimization for degenerate loss functions arising from over- parameterization. ... rate for strongly convex loss functions in the over-parameterized ...