akassharjun / ShapleyValueFLLinks
A pip library for calculating the Shapley Value for computing the marginal contribution of each client in a Federated Learning environment.
☆26Updated last year
Alternatives and similar repositories for ShapleyValueFL
Users that are interested in ShapleyValueFL are comparing it to the libraries listed below
Sorting:
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆54Updated last year
- Practical Vertical Federated Learning with Unsupervised Representation Learning (TBD 2022)☆21Updated 3 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆147Updated 3 years ago
- ☆29Updated 2 years ago
- The implementation of FedBCD algorithm published in the paper "FedBCD: A Communication-Efficient Collaborative Learning Framework for Dis…☆14Updated last year
- For distributed machine learning☆29Updated 2 weeks ago
- Code for paper - Stochastic Clustered Federated Learning☆11Updated last year
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆87Updated 2 years ago
- ☆43Updated 3 years ago
- [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training☆41Updated 2 years ago
- ☆30Updated 4 years ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆42Updated 2 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆67Updated 3 years ago
- A coupled vertical federated learning framework that boosts the model performance with record similarities (NeurIPS 2022)☆27Updated 2 years ago
- Diverse Client Selection for Federated Learning via Submodular Maximization☆32Updated 3 years ago
- [ICLR2023] Official Implementation of Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (http…☆68Updated 2 years ago
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆34Updated 11 months ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆116Updated 4 years ago
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆45Updated 2 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆57Updated 2 years ago
- Official code repository for our accepted work "Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning" in NeurI…☆24Updated 11 months ago
- FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning☆39Updated 2 years ago
- Practical One-Shot Federated Learning for Cross-Silo Setting☆41Updated 4 years ago
- Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)☆75Updated 7 months ago
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆70Updated 3 years ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆62Updated last year
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆163Updated 2 years ago
- ☆33Updated 3 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆85Updated 3 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆161Updated 3 years ago