Under a new smoothness assumption linking local curvature to the loss gap, increasing learning rates provably accelerate GD and SGD convergence, with up to Theta(T) speedup in special cases.
Qsgd: Communication- Efficient SGD via Gradient Quantization and Encoding
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Theoretical Analysis on how Learning Rate Warmup Accelerates Convergence
Under a new smoothness assumption linking local curvature to the loss gap, increasing learning rates provably accelerate GD and SGD convergence, with up to Theta(T) speedup in special cases.