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Collaborative Inference

In collaborative inference, a single inference task is performed by multiple models distributed on two or more (typically resource-constrained IoT) devices

Papers

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Showing 26–50 of 68 papers

TitleStatusHype
Energy-Efficient Model Compression and Splitting for Collaborative Inference Over Time-Varying Channels—0
Energy-efficient Wearable-to-Mobile Offload of ML Inference for PPG-based Heart-Rate Estimation—0
Ensembler: Protect Collaborative Inference Privacy from Model Inversion Attack via Selective Ensemble—0
Fault-Tolerant Collaborative Inference through the Edge-PRUNE Framework—0
Federated Learning for Collaborative Inference Systems: The Case of Early Exit Networks—0
Galaxy: A Resource-Efficient Collaborative Edge AI System for In-situ Transformer Inference—0
G-Boost: Boosting Private SLMs with General LLMs—0
Hybrid SD: Edge-Cloud Collaborative Inference for Stable Diffusion Models—0
Jupiter: Fast and Resource-Efficient Collaborative Inference of Generative LLMs on Edge Devices—0
Limited Communications Distributed Optimization via Deep Unfolded Distributed ADMM—0
MoE^2: Optimizing Collaborative Inference for Edge Large Language Models—0
PATROL: Privacy-Oriented Pruning for Collaborative Inference Against Model Inversion Attacks—0
PrivaScissors: Enhance the Privacy of Collaborative Inference through the Lens of Mutual Information—0
Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching—0
Roulette: A Semantic Privacy-Preserving Device-Edge Collaborative Inference Framework for Deep Learning Classification Tasks—0
Security Analysis of Capsule Network Inference using Horizontal Collaboration—0
Semantics-Driven Cloud-Edge Collaborative Inference—0
Smaller, Smarter, Closer: The Edge of Collaborative Generative AI—0
Speculative End-Turn Detector for Efficient Speech Chatbot Assistant—0
SPINN: Synergistic Progressive Inference of Neural Networks over Device and Cloud—0
SplitLLM: Collaborative Inference of LLMs for Model Placement and Throughput Optimization—0
Towards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design—0
Towards Receiver-Agnostic and Collaborative Radio Frequency Fingerprint Identification—0
Virtual staining of defocused autofluorescence images of unlabeled tissue using deep neural networks—0
Adaptive Early Exiting for Collaborative Inference over Noisy Wireless Channels—0
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