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20132023
most citedFederated Learning: Challenges, Methods, and Future Directions

5.1k citations · 7.5k across the 42 of their papers we have counts for

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cs.NE2023

Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution Strategies

Oscar Li, James Harrison, Jascha Sohl-Dickstein +2

Unrolled computation graphs are prevalent throughout machine learning but present challenges to automatic differentiation (AD) gradient estimation methods when their loss functions…