BUAA-BDA / FedShapley
Profit Allocation for Federated Learning
☆22Updated 4 years ago
Alternatives and similar repositories for FedShapley:
Users that are interested in FedShapley are comparing it to the libraries listed below
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆36Updated 10 months ago
- Official code repository for our accepted work "Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning" in NeurI…☆22Updated 6 months ago
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆51Updated 10 months ago
- 基于《A Little Is Enough: Circumventing Defenses For Distributed Learning》的联邦学习攻击模型☆62Updated 4 years ago
- ☆35Updated 3 years ago
- This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.☆44Updated last year
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆142Updated 2 years ago
- ☆28Updated 2 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆61Updated 3 years ago
- ☆38Updated 3 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆142Updated 2 years ago
- ☆36Updated last year
- Codebase for An Efficient Framework for Clustered Federated Learning.☆113Updated 4 years ago
- ☆30Updated 2 years ago
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆77Updated 2 years ago
- A coupled vertical federated learning framework that boosts the model performance with record similarities (NeurIPS 2022)☆26Updated 2 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆77Updated 2 years ago
- Decentralized federated learning of deep neural networks on non-iid data☆42Updated 2 years ago
- A list of papers using/about Federated Learning especially malicious client and attacks.☆12Updated 4 years ago
- Implementation of Shuffled Model of Differential Privacy in Federated Learning." AISTATS, 2021.☆17Updated 2 years ago
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆47Updated last year
- ☆26Updated 4 years ago
- A federated clustering approach with the corresponding unlearning mechanism (ICLR 2023)☆20Updated last year
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆39Updated 3 years ago
- Robust aggregation for federated learning with the RFA algorithm.☆48Updated 2 years ago
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆33Updated 5 months ago
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆39Updated 3 years ago
- ☆54Updated 3 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆169Updated 4 years ago
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆48Updated 2 years ago