ZhaoxuanWu / Incentive-Aware-FLLinks
A novel algorithm that distributes training-time model rewards to incentivize client contributions for federated learning. (ICLR-2024)
☆13Updated last year
Alternatives and similar repositories for Incentive-Aware-FL
Users that are interested in Incentive-Aware-FL are comparing it to the libraries listed below
Sorting:
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆177Updated 4 years ago
- Accenture Labs Federated Learning☆104Updated last year
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆39Updated 2 years ago
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆159Updated 9 months ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆161Updated 3 years ago
- The official code for the paper 'Towards Fair Graph Federated Learning via Incentive Mechanisms'☆17Updated last year
- fully ready experiments☆39Updated 3 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆82Updated 3 years ago
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆85Updated last year
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆147Updated 3 years ago
- Source code for "FedSoft: Soft Clustered Federated Learning with Proximal Local Updating"☆17Updated 3 years ago
- ☆27Updated 2 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆131Updated 2 years ago
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆35Updated last year
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆41Updated 3 years ago
- This is an official implementation for the ICLR2023 paper "The Best of Both Worlds: Accurate Global and Personalized Models through Feder…☆18Updated 6 months ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆163Updated 2 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆117Updated 4 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆68Updated 9 months ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆87Updated last year
- ☆177Updated 2 years ago
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆50Updated 2 years ago
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆54Updated last year
- ☆32Updated 3 years ago
- ☆76Updated 4 years ago
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆141Updated 10 months ago
- Similarity Guided Model Aggregation for Federated Learning☆25Updated 3 years ago
- ☆15Updated 4 years ago
- 完全去中心化联邦学习☆29Updated 2 years ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆71Updated last year