An autoencoder-based split-learning compressor with a two-stage alignment protocol achieves about 10x communication reduction during pre-trained vision-model fine-tuning with near-zero accuracy loss, outperforming heuristic compressors.
In: Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence
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AutoEncoder-Compressed Parallel Split Learning for Pre-trained Model Fine-Tuning
An autoencoder-based split-learning compressor with a two-stage alignment protocol achieves about 10x communication reduction during pre-trained vision-model fine-tuning with near-zero accuracy loss, outperforming heuristic compressors.