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통찰 - Tensor Homomorphic Compression (THC)
Accelerating Distributed Deep Learning Using Tensor Homomorphic Compression
The author introduces Tensor Homomorphic Compression (THC) as a novel bi-directional compression framework to address communication overhead in distributed deep learning. THC enables direct aggregation of compressed values, eliminating computational overhead and improving training efficiency.
THC: Accelerating Distributed Deep Learning Using Tensor Homomorphic Compression
Tensor Homomorphic Compression (THC) accelerates distributed deep learning by eliminating computational overheads and improving accuracy.
Tensor Homomorphic Compression (THC) for Accelerating Distributed Deep Learning
THC introduces a novel bi-directional compression framework to accelerate distributed deep learning by eliminating computational overheads and improving accuracy.
