Papers with Code 아카이브
Collaborative Inference
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 0
- 보존된 평가 기록
- 0
In collaborative inference, a single inference task is performed by multiple models distributed on two or more (typically resource-constrained IoT) devices
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Smaller, Smarter, Closer: The Edge of Collaborative Generative AI
A Wireless Collaborated Inference Acceleration Framework for Plant Disease Recognition
Towards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design
Jupiter: Fast and Resource-Efficient Collaborative Inference of Generative LLMs on Edge Devices
Speculative End-Turn Detector for Efficient Speech Chatbot Assistant
G-Boost: Boosting Private SLMs with General LLMs
Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems
PhyloVAE: Unsupervised Learning of Phylogenetic Trees via Variational Autoencoders
DistrEE: Distributed Early Exit of Deep Neural Network Inference on Edge Devices
CITER: Collaborative Inference for Efficient Large Language Model Decoding with Token-Level Routing
MoE$^2$: Optimizing Collaborative Inference for Edge Large Language Models
Collaboration of Large Language Models and Small Recommendation Models for Device-Cloud Recommendation
Distributed Mixture-of-Agents for Edge Inference with Large Language Models
GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding
Distributed Collaborative Inference System in Next-Generation Networks and Communication
CE-CoLLM: Efficient and Adaptive Large Language Models Through Cloud-Edge Collaboration
Collaborative Inference over Wireless Channels with Feature Differential Privacy
SplitLLM: Collaborative Inference of LLMs for Model Placement and Throughput Optimization
Edge-device Collaborative Computing for Multi-view Classification
Hybrid SD: Edge-Cloud Collaborative Inference for Stable Diffusion Models
Private Collaborative Edge Inference via Over-the-Air Computation
Global-Local Collaborative Inference with LLM for Lidar-Based Open-Vocabulary Detection
LiveMind: Low-latency Large Language Models with Simultaneous Inference
Galaxy: A Resource-Efficient Collaborative Edge AI System for In-situ Transformer Inference
Federated Learning for Collaborative Inference Systems: The Case of Early Exit Networks
GSCo: Towards Generalizable AI in Medicine via Generalist-Specialist Collaboration
Attention-aware Semantic Communications for Collaborative Inference
Emergency Computing: An Adaptive Collaborative Inference Method Based on Hierarchical Reinforcement Learning
Ensembler: Protect Collaborative Inference Privacy from Model Inversion Attack via Selective Ensemble
Towards Efficient Object Re-Identification with A Novel Cloud-Edge Collaborative Framework
Synergy: Towards On-Body AI via Tiny AI Accelerator Collaboration on Wearables
Adaptive Early Exiting for Collaborative Inference over Noisy Wireless Channels
Semantics-Driven Cloud-Edge Collaborative Inference
DeepAdaIn-Net: Deep Adaptive Device-Edge Collaborative Inference for Augmented Reality
Limited Communications Distributed Optimization via Deep Unfolded Distributed ADMM
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.