Differentially Private and Communication Efficient Large Language Model Split Inference via Stochastic Quantization and Soft Prompt | ScienceToStartup | ScienceToStartup

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References (47)

[1]

Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition

2025Hanting Chen, Yasheng Wang et al.

[2]

Cape: Context-Aware Prompt Perturbation Mechanism with Differential Privacy

2025Haoqi Wu, Wei Dai et al.

[3]

PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration

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"Develop a differentially private and communication efficient LLM inference framework for resource-constrained devices."

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Differentially Private and Communication Efficient Large Language Model Split Inference via Stochastic Quantization and Soft Prompt

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References (47)

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"Develop a differentially private and communication efficient LLM inference framework for resource-constrained devices."

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Differentially Private and Communication Efficient Large Language Model Split Inference via Stochastic Quantization and Soft Prompt

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References (47)

Founder's Pitch

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