Decoupled Split Learning via Auxiliary Loss | ScienceToStartup | ScienceToStartup

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References (15)

[1]

Learning without Global Backpropagation via Synergistic Information Distillation

2025Chenhao Ye, Ming Tang

[2]

FSL-SAGE: Accelerating Federated Split Learning via Smashed Activation Gradient Estimation

2025Srijith Nair, Michael Lin et al.

[3]

A Review and Experimental Evaluation on Split Learning

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"Efficient split learning method reduces communication and memory overhead via auxiliary loss signals."

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Decoupled Split Learning via Auxiliary Loss

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References (15)

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"Efficient split learning method reduces communication and memory overhead via auxiliary loss signals."

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Decoupled Split Learning via Auxiliary Loss

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References (15)

Founder's Pitch

"Efficient split learning method reduces communication and memory overhead via auxiliary loss signals."

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