xumengwei / Edge-AI-Paper-List
☆184Updated 8 months ago
Related projects: ⓘ
- ☆16Updated 11 months ago
- ☆74Updated last year
- This is a list of awesome edgeAI inference related papers.☆84Updated 8 months ago
- A curated list of awesome projects and papers for AI on Mobile/IoT/Edge devices. Everything is continuously updating. Welcome contributio…☆24Updated last year
- Our unique contributions are in tools/train/benchmark.☆19Updated last year
- A demo of end-to-end federated learning system.☆69Updated 2 years ago
- ☆93Updated 8 months ago
- ☆56Updated 2 years ago
- Autodidactic Neurosurgeon Collaborative Deep Inference for Mobile Edge Intelligence via Online Learning☆35Updated 3 years ago
- Source code for Jellyfish, a soft real-time inference serving system☆12Updated last year
- ☆12Updated last year
- Source code and datasets for Ekya, a system for continuous learning on the edge.☆97Updated 2 years ago
- A curated list of early exiting☆24Updated 3 weeks ago
- MobiSys#114☆21Updated last year
- InFi is a library for building input filters for resource-efficient inference.☆37Updated 10 months ago
- Server-driven Video Streaming for Deep Learning Inference☆84Updated 2 years ago
- [MobiCom '23] AccuMO: Accuracy-Centric Multitask Offloading in Edge-Assisted Mobile Augmented Reality☆11Updated 11 months ago
- LaLaRAND: Flexible Layer-by-Layer CPU/GPU Scheduling for Real-Time DNN Tasks☆11Updated 2 years ago
- PipeEdge: Pipeline Parallelism for Large-Scale Model Inference on Heterogeneous Edge Devices☆25Updated 7 months ago
- ☆42Updated 2 years ago
- Miro[ACM MobiCom '23] Cost-effective On-device Continual Learning over Memory Hierarchy with Miro☆11Updated 7 months ago
- ☆45Updated last year
- The open-source project for "Mandheling: Mixed-Precision On-Device DNN Training with DSP Offloading"[MobiCom'2022]☆18Updated 2 years ago
- Deep Compressive Offloading: Speeding Up Neural Network Inference by Trading Edge Computation for Network Latency☆25Updated 3 years ago
- 云边协同- collaborative inference📚Dynamic adaptive DNN surgery for inference acceleration on the edge☆26Updated last year
- ☆12Updated 4 years ago
- [MobiSys 2020] Fast and Scalable In-memory Deep Multitask Learning via Neural Weight Virtualization☆15Updated 4 years ago
- A curated list of research in System for Edge Intelligence and Computing(Edge MLSys), including Frameworks, Tools, Repository, etc. Paper…☆23Updated 2 years ago
- zTT: Learning-based DVFS with Zero Thermal Throttling for Mobile Devices [MobiSys'21] - Artifact Evaluation☆19Updated 3 years ago
- ☆18Updated 8 months ago