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wangxb96/Awesome-EdgeAI

Awesome-EdgeAI

Resources of our survey paper "Optimizing Edge AI: A Comprehensive Survey on Data, Model, and System Strategies"

View on GitHub↗Upstream wangxb96/Awesome-EdgeAI↗

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wangxb96

wangxb96

wangxb96 • individual

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111

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Forks

17

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Open Issues

0

Activity Score

0/100

0 commits in 30d

Created

Jan 19, 2023

Project creation date

README Summary

Optimizing Edge AI: A Comprehensive Survey on Data, Model, and System Strategies **Authors:** - [Xubin Wang](https://github.com/wangxb96)<sup>1,2,3</sup> - [Weijia Jia](https://scholar.google.com/citations?user=jtvFB20AAAAJ&hl=zh-CN&oi=ao)<sup>2,3*</sup> <sup>1</sup> Hong Kong Baptist University <sup>2</sup> Beijing Normal University <sup>3</sup> Beijing Normal-Hong Kong Baptist University <sup>*</sup> Corresponding author ![Awesome](https://cdn.rawgit.com/sindresorhus/awesome

Community Evaluation

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AI Dev Skills

Unmapped

AI Hardware-Software Co-designDistributed AI SystemsEdge AI OptimizationFederated LearningKnowledge DistillationMobile Deep LearningModel CompressionNeural Network QuantizationResource-constrained ComputingSystem-level AI Optimization

Tags

AI Hardware-Software Co-designDistributed AI SystemsEdge AI OptimizationFederated LearningKnowledge DistillationMobile Deep LearningModel CompressionNeural Network QuantizationResource-constrained ComputingSystem-level AI OptimizationAWSCachingComputer VisionData ScienceDeep LearningDistillationEmbeddingsEvalsForkedHealthcare AIInferenceMLOpsMachine LearningMobileModel OptimizationPrivacyPrivacy-Preserving AIPyTorchQuantizationReal-Time / StreamingReinforcement LearningResearch / PapersRoadmapSLAMSecuritySegmentationSynthetic DataTensorFlowTransformersTutorialWeb3

Taxonomy

AI Trends

On-device AIFederated LearningModel EfficiencyEdge ComputingDistributed AI

category

Model TrainingFoundation ModelsRAG & RetrievalEvals & BenchmarkingInference & ServingComputer VisionMLOps & InfrastructureDev Tools & AutomationCloud & PlatformsLearning ResourcesIndustry: HealthcareSecurity & SafetyData Science & Analytics

Deployment Context

Edge/MobileIoT DevicesEmbedded Systems

Industries

IoTMobile ComputingAutonomous VehiclesSmart ManufacturingHealthcare DevicesRobotics

Modalities

Multimodal

Skill Areas

Edge AI OptimizationModel CompressionNeural Network QuantizationKnowledge DistillationFederated LearningMobile Deep LearningDistributed AI SystemsSystem-level AI OptimizationResource-constrained ComputingAI Hardware-Software Co-design

tag

AWSCachingComputer VisionData ScienceDeep LearningDistillationEmbeddingsEvalsForkedHealthcare AIInferenceMLOpsMachine LearningMobileModel OptimizationPrivacyPrivacy-Preserving AIPyTorchQuantizationReal-Time / StreamingReinforcement LearningResearch / PapersRoadmapSLAMSecuritySegmentationSynthetic DataTensorFlowTransformersTutorialWeb3

Use Cases

Mobile AI Application DevelopmentIoT Device IntelligenceReal-time Edge InferenceDistributed AI Model DeploymentResource-efficient AI Systems

Recent Activity

Updated 8 months ago

7 Days

0

30 Days

0

90 Days

0

Quality

research
Quality
medium
Maturity
research

Categories

RAG & RetrievalPrimaryEvals & BenchmarkingInference & ServingMLOps & InfrastructureDev Tools & AutomationCloud & PlatformsLearning ResourcesIndustry: HealthcareSecurity & SafetyData Science & AnalyticsFoundation ModelsModel TrainingComputer VisionML Platform & InfrastructureHealthcare & BiologyEdge & Mobile AISearch & KnowledgeOther AI / ML

PM Skills

Cost & EfficiencySafety & AlignmentScale & ReliabilityData & EvaluationProduct Discovery

Languages

No language breakdown recorded.

Timeline

Project created
Jan 19, 2023
Forked
Mar 23, 2026
Your last push
8 months ago
Upstream last push
1 months ago
Tracked since
Sep 11, 2025

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