Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models | Paper Citation Record

Observation 704996cd-c2f2-4eff-93fe-991f9522c05a · outbound

This paper cites Gonzalez, Hao Zhang, and Ion Stoica.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models Gonzalez, Hao Zhang, and Ion Stoica

Reference 1

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Observation a244b28b-a60f-4a5a-8424-34b6eba53ff3 · outbound

This paper cites Fu, Stefano Ermon, Atri Rudra, and Christopher Ré.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models Fu, Stefano Ermon, Atri Rudra, and Christopher Ré

Reference 2

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Observation dbf50e4c-e461-40a9-8de9-8898dd6a5caa · outbound

This paper cites Flashattention-2: Faster attention with better parallelism and work partitioning.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models Flashattention-2: Faster attention with better parallelism and work partitioning

Reference 3

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Observation 59aafbdb-ea91-4138-abbc-039fc7e78970 · outbound

This paper cites ORCA: A distributed serving system for transformer-based generative models.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models ORCA: A distributed serving system for transformer-based generative models

Reference 4

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Observation 9ec4aa2a-05b0-4e4d-9fa1-fbca4f3b12e6 · outbound

This paper cites DeepSpeed-Inference: Enabling efficient inference of transformer models at unprecedented scale.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models DeepSpeed-Inference: Enabling efficient inference of transformer models at unprecedented scale

Reference 5

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Observation 7a3237f2-631f-4397-abe2-2bd07717c460 · outbound

This paper cites Neurosurgeon: Collaborative intelligence between the cloud and mobile edge.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models Neurosurgeon: Collaborative intelligence between the cloud and mobile edge

Reference 6

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Observation a2c8ebfc-c67a-4f6c-8050-c791406b6084 · outbound

This paper cites Split computing and early exiting for deep learning applications: Survey and research challenges.ACM Computing Surveys, 2022.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models Split computing and early exiting for deep learning applications: Survey and research challenges.ACM Computing Surveys, 2022

Reference 7

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Observation be4ee5b6-3c18-4bc6-ace7-ce68744ba00a · outbound

This paper cites DNN surgery: Accelerating DNN inference on the edge through layer partitioning.IEEE Transactions on Parallel and Distributed Systems, 2023.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models DNN surgery: Accelerating DNN inference on the edge through layer partitioning.IEEE Transactions on Parallel and Distributed Systems, 2023

Reference 8

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Observation 5a7f8188-0c65-4f6f-be70-bde979f3536d · outbound

This paper cites Pipeedge: Pipeline parallelism for large-scale model inference on heterogeneous edge devices.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models Pipeedge: Pipeline parallelism for large-scale model inference on heterogeneous edge devices

Reference 9

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Observation a3e7d1d7-cc21-4428-a652-4b0f664a237c · outbound

This paper cites Hybrid SLM and LLM for edge-cloud collaborative inference.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models Hybrid SLM and LLM for edge-cloud collaborative inference

Reference 10

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Observation 33614f3b-2045-4f8a-b6b4-4898256a8cef · outbound

This paper cites Jupiter: Fast and resource-efficient collaborative inference of generative LLMs on edge devices.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models Jupiter: Fast and resource-efficient collaborative inference of generative LLMs on edge devices

Reference 11

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Observation 50603c84-6301-4705-b54b-b447c97d11af · outbound

This paper cites DSSD: Efficient Edge-Device LLM Deployment and Collaborative Inference via Distributed Split Speculative Decoding.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models DSSD: Efficient Edge-Device LLM Deployment and Collaborative Inference via Distributed Split Speculative Decoding

Reference 12

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Observation cbd50d06-12a4-4179-8465-1e9474670daa · outbound

This paper cites CE-CoLLM: Efficient and adaptive large language models through cloud-edge collaboration.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models CE-CoLLM: Efficient and adaptive large language models through cloud-edge collaboration

Reference 13

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Observation c13880c8-dbdb-41ce-bce7-e66b06bc695c · outbound

This paper cites Edgeshard: Efficient LLM inference via collaborative edge computing.IEEE Internet of Things Journal, 2024.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models Edgeshard: Efficient LLM inference via collaborative edge computing.IEEE Internet of Things Journal, 2024

Reference 14

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Observation a7e64c04-0db6-4448-8b9c-9944903863d4 · outbound

This paper cites Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges

Reference 15

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Observation 2094fa64-e73e-443d-b654-c8744521eb64 · outbound

This paper cites Fast inference from transformers via speculative decoding.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models Fast inference from transformers via speculative decoding

Reference 16

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Observation 8dbfbe5d-4166-42a5-a20c-708869b7b6ef · outbound

This paper cites Accelerating large language model decoding with speculative sampling, 2023.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models Accelerating large language model decoding with speculative sampling, 2023

Reference 17

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Observation e31208b4-04d7-439c-be8e-37d33de933a9 · outbound

This paper cites Specinfer: Accelerating generative large language model serving with tree-based speculative inference and verification.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models Specinfer: Accelerating generative large language model serving with tree-based speculative inference and verification

Reference 18

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Observation b0df2741-fa12-4b04-ab32-22b12618180a · outbound

This paper cites Sequoia: Scalable, robust, and hardware-aware speculative decoding.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models Sequoia: Scalable, robust, and hardware-aware speculative decoding

Reference 19

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Observation bba04103-6a0d-43b9-b4c3-73db6ab2f825 · outbound

This paper cites Lee, Deming Chen, and Tri Dao.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models Lee, Deming Chen, and Tri Dao

Reference 20

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Observation b204fa25-a9b6-4561-ba1f-334675d9b30d · outbound

This paper cites EAGLE-2: Faster inference of language models with dynamic draft trees.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models EAGLE-2: Faster inference of language models with dynamic draft trees

Reference 21

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Observation 457a302d-9d3d-4119-ba8a-fa8b5a00785f · outbound

This paper cites Break the sequential dependency of LLM inference using lookahead decoding.arXiv preprint, 2024.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models Break the sequential dependency of LLM inference using lookahead decoding.arXiv preprint, 2024

Reference 22

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Observation 20f5b314-7564-4fa3-a578-c7ab3c0859ad · outbound

This paper cites Reddi, and Felix Yu.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models Reddi, and Felix Yu

Reference 23

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Observation a752c88b-db56-45de-bc72-a3f4fe9e945e · outbound

This paper cites Layerskip: Enabling early exit inference and self-speculative decoding.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models Layerskip: Enabling early exit inference and self-speculative decoding

Reference 24

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Observation 7c4cab50-7dea-4036-aa84-f11339118f41 · outbound

This paper cites Draft & verify: Lossless large language model acceleration via self-speculative decoding.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models Draft & verify: Lossless large language model acceleration via self-speculative decoding

Reference 25

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Observation 23008ec9-d20b-479b-b1dc-63915ef94f0b · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

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Observation f66487df-1cd8-46ad-9931-9f26f325fdfb · outbound

This paper cites QLoRA: Efficient finetuning of quantized LLMs.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models QLoRA: Efficient finetuning of quantized LLMs

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Observation 8e950cda-cbcb-45d0-8480-7af5fa2c85d0 · outbound

This paper cites SplitLoRA: A Split Parameter-Efficient Fine-Tuning Framework for Large Language Models.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models SplitLoRA: A Split Parameter-Efficient Fine-Tuning Framework for Large Language Models

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Observation 4798fc88-828b-416f-ae75-d69c30355b48 · outbound

This paper cites Improving LoRA in Privacy-preserving Federated Learning.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models Improving LoRA in Privacy-preserving Federated Learning

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Observation 9b9bd033-a26f-4707-8e85-b49ebb328fd1 · outbound

This paper cites On the implicit relation between low-rank adaptation and differential privacy.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models On the implicit relation between low-rank adaptation and differential privacy

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Observation 87219b76-0a36-4fad-a0be-3076474b4077 · outbound

This paper cites Is split learning privacy-preserving for fine-tuning large language models?IEEE Transactions on Big Data, 2024.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models Is split learning privacy-preserving for fine-tuning large language models?IEEE Transactions on Big Data, 2024

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Observation 8a2ee5c0-71e1-41ee-ac6f-15ae965c3402 · outbound

This paper cites SLDP-LoRA: A privacy-preserving split learning framework with low-rank adaptation.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models SLDP-LoRA: A privacy-preserving split learning framework with low-rank adaptation

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Observation c36f73c1-69bf-41a8-95ca-810241f11245 · outbound

This paper cites Split-and-Denoise: Protect large language model inference with local differential privacy.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models Split-and-Denoise: Protect large language model inference with local differential privacy

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This paper cites Santos, et al.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models Santos, et al

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Observation 2dc0dd2e-5e5f-4118-8583-d065b60aefcd · outbound

This paper cites GPTQ: Accurate post-training quantization for generative pre-trained transformers.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models GPTQ: Accurate post-training quantization for generative pre-trained transformers

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Observation 67ea7582-74b1-4a21-be37-a25d1d408574 · outbound

This paper cites AWQ: Activation-aware weight quantization for on-device LLM compression and acceleration.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models AWQ: Activation-aware weight quantization for on-device LLM compression and acceleration

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Observation 143f02b4-ff8e-46cf-a862-004b59d02e04 · outbound

This paper cites Smoothquant: Accurate and efficient post-training quantization for large language models.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models Smoothquant: Accurate and efficient post-training quantization for large language models

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Observation 7c1bc7fc-10c5-48be-88d3-35dbd3e50c00 · outbound

This paper cites A simple and effective pruning approach for large language models.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models A simple and effective pruning approach for large language models

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Observation 58f287d4-07cc-4f10-bbab-3abaead8bc27 · outbound

This paper cites Minillm: Knowledge distillation of large language models.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models Minillm: Knowledge distillation of large language models

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Observation 62123e57-7a91-474e-9325-b83a21c203bc · outbound

This paper cites Efficient LLM inference on CPUs.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models Efficient LLM inference on CPUs

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Observation 715331ba-a009-48c1-a933-2b3ebe623b87 · outbound

This paper cites H2O: Heavy-hitter oracle for accurate KV cache compression.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models H2O: Heavy-hitter oracle for accurate KV cache compression

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Observation 487eca1a-41f9-4c73-9bdd-671413163a11 · outbound

This paper cites Streamingllm: Efficient streaming language models with attention sinks.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models Streamingllm: Efficient streaming language models with attention sinks

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Observation 81176a82-252d-409c-ad5d-184fe5b7b48b · outbound

This paper cites Recommendation for block cipher modes of operation: Ga- lois/counter mode (gcm) and gmac.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models Recommendation for block cipher modes of operation: Ga- lois/counter mode (gcm) and gmac

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Observation 13e26c63-4711-4bdf-bec6-4480245fafdd · outbound

This paper cites BOLT: Privacy-preserving, accurate and efficient inference for transformers.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models BOLT: Privacy-preserving, accurate and efficient inference for transformers

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Observation e05b9057-df30-4519-a95a-a42138371044 · outbound

This paper cites THE-X: Privacy-preserving transformer inference with homomorphic encryption.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models THE-X: Privacy-preserving transformer inference with homomorphic encryption

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Observation 5369bbcc-5885-4905-9e6a-cf607f584081 · outbound

This paper cites Xing, et al.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models Xing, et al

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Observation 223d5a16-0e04-49b4-8373-640f5860107b · outbound

This paper cites Secureinfer: Heterogeneous TEE-GPU architecture for privacy- critical LLM tensors.arXiv preprint arXiv:2510.19979, 2025.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models Secureinfer: Heterogeneous TEE-GPU architecture for privacy- critical LLM tensors.arXiv preprint arXiv:2510.19979, 2025

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Observation 31bfd236-2284-4e7d-970a-f89636aeddf0 · outbound

This paper cites ONNX Runtime: Cross-platform, high performance machine learning inferencing and training accelerator.https://onnxruntime.ai/.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models ONNX Runtime: Cross-platform, high performance machine learning inferencing and training accelerator.https://onnxruntime.ai/

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Observation 02d45801-cac2-4a28-b676-337714cc26d7 · outbound

This paper cites Text Revealer: Private Text Reconstruction via Model Inversion Attacks against Transformers.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models Text Revealer: Private Text Reconstruction via Model Inversion Attacks against Transformers

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Observation 555f580a-0501-459e-bbc7-4be1bc3da1d2 · outbound

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Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models ML-Doctor: Holistic risk assessment of inference attacks against machine learning models

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Observation b3620fcb-bd28-4f09-92f5-16b6b7356dd0 · outbound

This paper cites Privacy side channels in machine learning systems.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models Privacy side channels in machine learning systems

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Observation f26177c0-e00f-4545-a5fe-dece69615396 · outbound

This paper cites Secure multi-party computation for machine learning: A survey.IEEE Communications Surveys & Tutorials, 2024.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models Secure multi-party computation for machine learning: A survey.IEEE Communications Surveys & Tutorials, 2024

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Observation a2cb37e2-5ef6-48ae-8838-00b7e3d2b366 · outbound

This paper cites an unresolved cited work.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models Unresolved cited work

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