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Collaborative Inference
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In collaborative inference, a single inference task is performed by multiple models distributed on two or more (typically resource-constrained IoT) devices
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Tencent/TFace
공식 코드https://github.com/aiming-lab/CITER
공식 코드CITER: Collaborative Inference for Efficient Large Language Model Decoding with Token-Level Routing
https://github.com/chuangtaochen-tum/livemind
공식 코드LiveMind: Low-latency Large Language Models with Simultaneous Inference
https://github.com/gradiustwinbee/glis
공식 코드Global-Local Collaborative Inference with LLM for Lidar-Based Open-Vocabulary Detection
https://github.com/iil-postech/semantic-attention
공식 코드Attention-aware Semantic Communications for Collaborative Inference
https://github.com/ipc-lab/collaborative-inference-oac
공식 코드Private Collaborative Edge Inference via Over-the-Air Computation
https://github.com/learning-at-home/hivemind
공식 코드Petals: Collaborative Inference and Fine-tuning of Large Models
https://github.com/maymalka10/ensembles-on-the-edge
공식 코드Decentralized Low-Latency Collaborative Inference via Ensembles on the Edge
https://github.com/purbeshmitra/distributed_moa
공식 코드Distributed Mixture-of-Agents for Edge Inference with Large Language Models
https://github.com/rezafuru/quantensplit
공식 코드Architectural Vision for Quantum Computing in the Edge-Cloud Continuum
https://github.com/sunanhe/meddr
공식 코드GSCo: Towards Generalizable AI in Medicine via Generalist-Specialist Collaboration
https://github.com/tyuxie/PhyloVAE
공식 코드PhyloVAE: Unsupervised Learning of Phylogenetic Trees via Variational Autoencoders
https://github.com/um-dsp/PRICURE
공식 코드PRICURE: Privacy-Preserving Collaborative Inference in a Multi-Party Setting
https://github.com/xiasong0501/cem
공식 코드https://github.com/yawen-shao/great_code
공식 코드GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding
https://github.com/yuanmu97/mlink
공식 코드MLink: Linking Black-Box Models from Multiple Domains for Collaborative Inference
https://github.com/2023-MindSpore-4/Code13/tree/main/zhanglan/MLink-main
MLink: Linking Black-Box Models from Multiple Domains for Collaborative Inference
https://github.com/2023-MindSpore-4/Code13/tree/main/zhanglan/MLink-main/mlink_ms
MLink: Linking Black-Box Models from Multiple Domains for Collaborative Inference
https://github.com/Alcoholrithm/TabularS3L
SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning
https://github.com/JunweiLiang/DualAttentionNetwork
Dual Attention Networks for Multimodal Reasoning and Matching
https://github.com/MindSpore-scientific-2/code-4/tree/main/Corella
Private Collaborative Edge Inference via Over-the-Air Computation
https://github.com/MindSpore-scientific-2/code-5/tree/main/Corella
Private Collaborative Edge Inference via Over-the-Air Computation
https://github.com/astrazeneca/subtab
SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning
https://github.com/bigscience-workshop/petals
Petals: Collaborative Inference and Fine-tuning of Large Models
https://github.com/iammrhelo/pytorch-vqa-dan
Dual Attention Networks for Multimodal Reasoning and Matching
https://github.com/selimfirat/oac-based-private-ensembles
Private Collaborative Edge Inference via Over-the-Air Computation
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