arXivAI Research
Clipped Decentralized SGD: Achieving Optimal Convergence and Linear Speed-Up Under Heavy-Tailed Noise
去中心化 SGD 克服重尾雜訊：梯度裁剪如何實現最佳收斂與線性加速
This study proves that clipped decentralized SGD (DSGD) achieves order-optimal convergence rates and linear speed-up under heavy-tailed noise for non-convex optimization.
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