UCSD-SEELab / iot-hd-reading-group
Collections of paper reviews in SEELab, related to IoT/HD/ML etc.
☆21Updated last week
Related projects: ⓘ
- ☆20Updated last year
- Implementation of our proposed defense strategy against adversarial attacks "Defensive Approximation (DA)"☆9Updated 3 years ago
- Source code for the paper "Federated Learning with Spiking Neural Networks".☆31Updated 2 years ago
- [DMLR 2024] FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things☆47Updated 3 weeks ago
- Federated learning with model quantization☆14Updated 2 years ago
- A incomplete survey for Split Learning (comprehensive enough) and Federated Learning (only most representative works)☆15Updated 2 years ago
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆76Updated 2 years ago
- Open-source artifacts and codes of our MICRO'23 paper titled “Sparse-DySta: Sparsity-Aware Dynamic and Static Scheduling for Sparse Multi…☆31Updated last year
- 2021 Summer Research Internship project (UROP) at Imperial College London. Supervised by Prof George Constantinides and Ben Biggs☆15Updated last year
- Using Feature Decomposition method to accelerate GNN inference☆12Updated 2 years ago
- Code for Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence☆13Updated 3 years ago
- [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Che…☆66Updated 2 years ago
- ☆27Updated 4 years ago
- Federated Dynamic Sparse Training☆30Updated 2 years ago
- PipeEdge: Pipeline Parallelism for Large-Scale Model Inference on Heterogeneous Edge Devices☆25Updated 7 months ago
- The open-souce code of FedFA: Federated Learning with Feature Anchors to Align Features and Classifiers for Heterogeneous Data, accepted …☆14Updated 11 months ago
- Official implementations for "Communication-Efficient Diffusion Strategy for Performance Improvement of Federated Learning with Non-IID D…☆19Updated 6 months ago
- LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning (2021 IEEE/ACM Symposium on Edge Co…☆39Updated last year
- Code for ScaleFL☆29Updated last year
- Repo. for IPSN 2022 paper: "BalanceFL: Addressing Class Imbalance in Long-Tail Federated Learning".☆19Updated 2 years ago
- Code Implemntion from the article Multi-Armed Bandit Based Client Schedulingfor Federated Learning☆16Updated 3 years ago
- Pytorch-based early exit network inspired by branchynet☆27Updated last year
- This project will realize experiments about BranchyNet partitioning using pytorch framework☆28Updated 4 years ago
- ☆15Updated 2 years ago
- [IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and […☆32Updated last year
- ☆12Updated 4 years ago
- AFP is a hardware-friendly quantization framework for DNNs, which is contributed by Fangxin Liu and Wenbo Zhao.☆10Updated 2 years ago
- Deep Compressive Offloading: Speeding Up Neural Network Inference by Trading Edge Computation for Network Latency☆25Updated 3 years ago
- ☆16Updated 3 months ago
- ☆15Updated last year