akassharjun / ShapleyValueFLLinks
A pip library for calculating the Shapley Value for computing the marginal contribution of each client in a Federated Learning environment.
☆27Updated 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
- For distributed machine learning☆29Updated 2 months ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆43Updated 2 years ago
- A Benchmark of Real-world Image Dataset for Federated Learning☆42Updated 6 years ago
- Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)☆75Updated 9 months ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆149Updated 3 years ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆62Updated 2 years ago
- The implementation of FedBCD algorithm published in the paper "FedBCD: A Communication-Efficient Collaborative Learning Framework for Dis…☆14Updated last year
- Code for Neural Networks journal paper - StoCFL: A stochastically clustered federated learning framework for Non-IID data with dynamic cl…☆11Updated last year
- Papers related to federated learning in top conferences (2020-2024).☆70Updated last year
- ☆29Updated 2 years ago
- Federated Learning with New Knowledge -- explore to incorporate various new knowledge into existing FL systems and evolve these systems t…☆85Updated last year
- ☆35Updated 4 years ago
- Practical One-Shot Federated Learning for Cross-Silo Setting☆41Updated 4 years ago
- ☆28Updated 2 years ago
- ☆33Updated 3 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆87Updated 3 years ago
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆46Updated 2 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆165Updated 3 years ago
- Profit Allocation for Federated Learning☆23Updated 5 years ago
- This repository presents a blockchain-based framework, TrustFed, for Cross-Device Federated Learning systems to detect the model poisonin…☆12Updated 3 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆119Updated 5 years ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆89Updated 2 years ago
- A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.☆21Updated 3 years ago
- 基于《A Little Is Enough: Circumventing Defenses For Distributed Learning》的联邦学习攻击模型☆65Updated 5 years ago
- This is official code for ACIIDS2022 paper "Meta-learning and Personalization layer in Federated learning"☆30Updated 2 years ago
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆59Updated 2 years ago
- PyTorch implementation of: D. Shenaj, M. Toldo, A. Rigon and P. Zanuttigh, “Asynchronous Federated Continual Learning”, CVPR 2023 Worksho…☆39Updated 2 years ago
- 🔨 A Flexible Federated Learning Simulator for Heterogeneous and Asynchronous.☆23Updated 3 years ago