zlijingtao / Awesome-Split-LearningLinks
A incomplete survey for Split Learning (comprehensive enough) and Federated Learning (only most representative works)
☆17Updated 3 years ago
Alternatives and similar repositories for Awesome-Split-Learning
Users that are interested in Awesome-Split-Learning are comparing it to the libraries listed below
Sorting:
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆44Updated 2 years ago
- Repo. for IPSN 2022 paper: "BalanceFL: Addressing Class Imbalance in Long-Tail Federated Learning".☆22Updated 2 years ago
- The open-souce code of FedFA: Federated Learning with Feature Anchors to Align Features and Classifiers for Heterogeneous Data, accepted …☆19Updated last year
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆91Updated 3 years ago
- Federated Dynamic Sparse Training☆30Updated 3 years ago
- SCAFFOLD and FedAvg implementation☆59Updated 3 years ago
- Federated learning with model quantization☆16Updated 3 years ago
- ☆30Updated 4 years ago
- Decentralized federated learning of deep neural networks on non-iid data☆45Updated 3 years ago
- CMFL: Mitigating Communication Overhead for Federated Learning / PyTorch reimplementation.☆29Updated 5 years ago
- Pytorch implementations of some general federated optimization methods.☆41Updated 8 months ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆17Updated 5 years ago
- LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning (2021 IEEE/ACM Symposium on Edge Co…☆41Updated 2 years ago
- A summay of existing works on vertical federated/split learning☆15Updated 3 years ago
- Adaptive gradient sparsification for efficient federated learning: an online learning approach☆18Updated 4 years ago
- [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Che…☆71Updated 2 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆79Updated 2 years ago
- ☆54Updated 4 years ago
- SPATL: Salient Prameter Aggregation and Transfer Learning for Heterogeneous Federated Learning☆24Updated 2 years ago
- Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity☆42Updated 3 years ago
- SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things☆110Updated 4 years ago
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆48Updated 2 years ago
- ☆30Updated 3 years ago
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆42Updated 3 years ago
- ☆17Updated 2 years ago
- FedDCT: A Novel Federated Learning Approach for Training Large Convolutional Neural Networks☆41Updated last year
- reveal the vulnerabilities of SplitNN☆31Updated 3 years ago
- ☆95Updated 3 years ago
- Code Implemntion from the article Multi-Armed Bandit Based Client Schedulingfor Federated Learning☆16Updated 4 years ago
- An implementation of FedPAQ using different experimental parameters. We will be looking at different variations of how, r(number of clien…☆21Updated 4 years ago