SOMP: Scalable Gradient Inversion for Large Language Models via Subspace-Guided Orthogonal Matching Pursuit | ScienceToStartup | ScienceToStartup

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References (20)

[1]

Gradient Inversion Transcript: Leveraging Robust Generative Priors to Reconstruct Training Data from Gradient Leakage

2025Xinping Chen, Chen Liu

[2]

Uncovering Gradient Inversion Risks in Practical Language Model Training

2024Xinguo Feng, Zhongkui Ma et al.

[3]

SPEAR: Exact Gradient Inversion of Batches in Federated Learning

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"SOMP is a scalable framework for recovering private training text from aggregated gradients in large language models."

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SOMP: Scalable Gradient Inversion for Large Language Models via Subspace-Guided Orthogonal Matching Pursuit

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References (20)

Founder's Pitch

"SOMP is a scalable framework for recovering private training text from aggregated gradients in large language models."

Commercial Viability Breakdown

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SOMP: Scalable Gradient Inversion for Large Language Models via Subspace-Guided Orthogonal Matching Pursuit

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References (20)

Founder's Pitch

"SOMP is a scalable framework for recovering private training text from aggregated gradients in large language models."

Commercial Viability Breakdown

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