itslastonenikhil / federated-learningLinks
Implementation of FedAvg, FedProx and qFedAvg using PyTorch
☆15Updated last year
Alternatives and similar repositories for federated-learning
Users that are interested in federated-learning are comparing it to the libraries listed below
Sorting:
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆128Updated 2 years ago
- Federated Learning Algorithm (Pytorch) : FedAvg, FedProx, MOON, SCAFFOLD, FedDyn☆26Updated 7 months ago
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆76Updated 3 years ago
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆78Updated 9 months ago
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆150Updated 6 months ago
- ☆75Updated 4 years ago
- Implementation of Scaffold and Fedprox for Federated Learning using PyTorch☆22Updated 3 years ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆67Updated last year
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆123Updated 2 years ago
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆138Updated 7 months ago
- ☆66Updated 8 months ago
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆92Updated 2 years ago
- FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis, Accept…☆12Updated 4 months ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆154Updated 3 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆174Updated 4 years ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆108Updated 3 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆84Updated 11 months ago
- This is a implemention of FedAvg in paper Communication-Efficient Learning of Deep Networks from Decentralized Data.☆30Updated 4 years ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆40Updated 2 years ago
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆175Updated 2 weeks ago
- ☆175Updated 2 years ago
- Accenture Labs Federated Learning☆103Updated last year
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆35Updated last year
- [KDD 2023] FedMultimodal☆109Updated last month
- 通过阅读Communication-Efficient Learning of Deep Networks from Decentralized Data与Robust and Communication-Efficient Federated Learning from …☆38Updated 2 years ago
- PyTorch implementation of FedPer (Federated Learning with Personalization Layers).☆75Updated 2 years ago
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆70Updated 2 years ago
- ☆25Updated 2 years ago
- FedAvg, FedGKT, FedProx, Gradient Inversion Attack☆15Updated 2 years ago
- This repository contains all the implementation of different papers on Federated Learning☆42Updated 4 years ago