KarhouTam / Personalized-FedAvgLinks
Implementation of Improving Federated Learning Personalization via Model Agnostic Meta Learning
☆9Updated 3 years ago
Alternatives and similar repositories for Personalized-FedAvg
Users that are interested in Personalized-FedAvg are comparing it to the libraries listed below
Sorting:
- PyTorch Implementation of Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach☆54Updated 2 years ago
- ☆77Updated 3 years ago
- ☆42Updated 3 years ago
- Diverse Client Selection for Federated Learning via Submodular Maximization☆30Updated 2 years ago
- This repo implements FedU, a multitask learning framework for federated learning☆28Updated last month
- FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning☆39Updated 2 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆153Updated 3 years ago
- PyTorch Implementation of Federated Reconstruction: Partially Local Federated Learning☆13Updated 2 years ago
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆68Updated 2 years ago
- Personalized Federated Learning via Variational Bayesian Inference [ICML 2022]☆56Updated 2 years ago
- Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"☆74Updated 4 years ago
- Pytorch implementations of some general federated optimization methods.☆41Updated 7 months ago
- ☆54Updated 3 years ago
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆70Updated 2 years ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆65Updated last year
- PyTorch implementation of FedPer (Federated Learning with Personalization Layers).☆74Updated 2 years ago
- ☆14Updated 2 years ago
- ☆74Updated 4 years ago
- Code for paper - Stochastic Clustered Federated Learning☆11Updated last year
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆90Updated 3 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆85Updated 3 years ago
- Official Code for PACFL AAAI 2023☆43Updated last year
- Codebase for An Efficient Framework for Clustered Federated Learning.☆117Updated 4 years ago
- Federated Learning with Partial Model Personalization☆42Updated 2 years ago
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆41Updated 3 years ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆86Updated 2 years ago
- Source code for the ICML 2022 paper: "Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering"☆58Updated 2 years ago
- ☆30Updated 3 years ago
- ☆49Updated 5 months ago
- This is an official Tensorflow-2 implementation of Federated Continual Learning with Inter-Client Weighted Transfer☆109Updated 4 years ago