Chenglu0426 / FairGraphFLLinks
The official code for the paper 'Towards Fair Graph Federated Learning via Incentive Mechanisms'
☆17Updated last year
Alternatives and similar repositories for FairGraphFL
Users that are interested in FairGraphFL are comparing it to the libraries listed below
Sorting:
- A novel algorithm that distributes training-time model rewards to incentivize client contributions for federated learning. (ICLR-2024)☆16Updated last year
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆168Updated last year
- ☆75Updated 5 years ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆78Updated 2 years ago
- IJCAI-Personalized Federated Learning with Graph☆57Updated 2 years ago
- ☆27Updated 2 years ago
- Codes for FedKD☆62Updated 3 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆175Updated 3 years ago
- Implement FedAvg algorithm based on Tensorflow☆266Updated 5 years ago
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆150Updated last year
- PyTorch Federated Learning (easy to use and extend)☆296Updated 2 years ago
- This is an official implementation for the ICLR2023 paper "The Best of Both Worlds: Accurate Global and Personalized Models through Feder…☆22Updated 11 months ago
- [AAAI'23] Federated Learning on Non-IID Graphs via Structural Knowledge Sharing☆69Updated 3 years ago
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆39Updated last year
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆185Updated 4 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆84Updated 3 years ago
- Track Federated Learning Papers☆38Updated this week
- Profit Allocation for Federated Learning☆24Updated 5 years ago
- ☆183Updated 2 years ago
- Accenture Labs Federated Learning☆106Updated last year
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆90Updated last year
- Similarity Guided Model Aggregation for Federated Learning☆26Updated 3 years ago
- 完全去中心化联邦学习☆31Updated 2 years ago
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆224Updated 2 months ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆71Updated last year
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆157Updated 3 years ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆114Updated 3 years ago
- ☆83Updated last year
- Three implementations of FedAvg: numpy, pytorch and tensorflow federated.☆45Updated 3 years ago
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆54Updated last year