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Aug 9, 2026 · Artificial Intelligence

Building ComputeShare: A Lightweight Multi‑Machine Distributed Training System with PyTorch

ComputeShare demonstrates how a centralized parameter‑server architecture, linear‑scaling learning‑rate adjustments, stale‑gradient protection, optional async SGD, gradient compression, and a universal dataset factory enable heterogeneous devices (CUDA, MPS, CPU) to collaboratively train models over LAN or the Internet, with benchmark results on MNIST, Fashion‑MNIST, and USPS.