beiyuouo / FedCM
[IJCNN 2021] FedCM: A Real-time Contribution Measurement Method for Participants in Federated Learning
☆11Updated 3 years ago
Alternatives and similar repositories for FedCM:
Users that are interested in FedCM are comparing it to the libraries listed below
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆40Updated 2 years ago
- The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".☆29Updated 2 years ago
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆51Updated 10 months ago
- Asynchronous Federated Learning☆19Updated 3 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆61Updated 3 years ago
- Federated Learning Algorithm (Pytorch) : FedAvg, FedProx, MOON, SCAFFOLD, FedDyn☆25Updated 4 months ago
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆69Updated 2 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆17Updated 5 years ago
- ☆30Updated 2 years ago
- ☆28Updated 2 years ago
- Simplified Implementation of FedPAC☆55Updated last year
- ☆35Updated 3 years ago
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆68Updated 2 years ago
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆36Updated 10 months ago
- Asynchronous Federated Learning MNIST Image Classifier using Convolutional Neural-Network☆10Updated 2 years ago
- ☆46Updated 2 years ago
- This is official code for ACIIDS2022 paper "Meta-learning and Personalization layer in Federated learning"☆29Updated last year
- ☆18Updated 2 years ago
- Similarity Guided Model Aggregation for Federated Learning☆24Updated 3 years ago
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆47Updated last year
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆81Updated 8 months ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆77Updated 2 years ago
- FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning☆38Updated last year
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆43Updated last year
- Implementation of Scaffold and Fedprox for Federated Learning using PyTorch☆22Updated 2 years ago
- FedAvg, FedGKT, FedProx, Gradient Inversion Attack☆15Updated 2 years ago
- 关于簇联邦学习的一个小小的改进。自动确定簇个数,提高簇模型精度,缓解用户孤立的问题☆35Updated 2 years ago
- ☆33Updated 3 years ago
- fully ready experiments☆36Updated 2 years ago
- PyTorch implementation of Fast-Convergent Federated Learning via Cyclic Aggregation, including FedAvg, FedProx, MOON, and FedRS☆14Updated last year