H-W-Huang / FedServingLinks
此项目为论文《FedServing: A Federated Prediction Serving Framework Based on Incentive Mechanism》的验证项目。基于 intel SGX ，实现将各个不同模型的推测结果在可信硬件中使用 truth discovery 算法聚合计算出最终结果等功能。支持 label、rank、probs三种类型的推理结果的聚合。
☆17Updated last year
Alternatives and similar repositories for FedServing
Users that are interested in FedServing are comparing it to the libraries listed below
Sorting:
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆41Updated 3 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆80Updated 3 years ago
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆49Updated 2 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆174Updated 4 years ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆62Updated last year
- Codebase for An Efficient Framework for Clustered Federated Learning.☆116Updated 4 years ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆39Updated 2 years ago
- The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".☆29Updated 2 years ago
- diaoenmao / HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆172Updated 2 years ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆153Updated last year
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆240Updated last year
- ☆75Updated 4 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆130Updated 2 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆145Updated 3 years ago
- Code for publication on FL incentive mechanism design☆10Updated 10 months ago
- ☆31Updated 3 years ago
- repo in several methods FedAvg, FedMD, FedProto, FedProx, FedHKD.☆22Updated last year
- Accenture Labs Federated Learning☆104Updated last year
- 联邦学习模块化框架，支持各类FL。A universal federated learning framework, free to switch thread and process modes☆172Updated last month
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆163Updated 2 years ago
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆53Updated last year
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆35Updated last year
- FedMD: Heterogenous Federated Learning via Model Distillation☆157Updated 4 years ago
- [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Che…☆72Updated 3 years ago
- Code and data accompanying the FedGen paper☆251Updated 9 months ago
- ☆177Updated 2 years ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆70Updated last year
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆84Updated last year
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆153Updated 7 months ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆123Updated 3 years ago