cj-mclaughlin / pFedFDALinks
Code for pFedFDA: Personalized Federated Learning via Feature Distribution Adaptation (NeurIPS 2024)
☆13Updated 11 months ago
Alternatives and similar repositories for pFedFDA
Users that are interested in pFedFDA are comparing it to the libraries listed below
Sorting:
- NeurIPS 2023 accepted paper, Eliminating Domain Bias for Federated Learning in Representation Space☆22Updated 7 months ago
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆64Updated last year
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆54Updated 2 weeks ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆89Updated 2 years ago
- Pytorch implementations of some general federated optimization methods.☆46Updated last year
- ☆27Updated 2 years ago
- This is an official implementation for the ICLR2023 paper "The Best of Both Worlds: Accurate Global and Personalized Models through Feder…☆19Updated 7 months ago
- ☆24Updated 2 years ago
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆142Updated 11 months ago
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆71Updated 2 years ago
- fully ready experiments☆39Updated 3 years ago
- ☆28Updated 2 years ago
- ☆79Updated 3 years ago
- Simplified Implementation of FedPAC☆60Updated last year
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆148Updated 3 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆68Updated 3 years ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆122Updated 3 years ago
- diaoenmao / HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆174Updated 2 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆87Updated 3 years ago
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆51Updated 2 years ago
- Code implementation of the paper "Federated Unlearning: How to Efficiently Erase a Client in FL?" published at UpML (part of ICML 2022)☆42Updated last month
- A curated repository for various papers in the domain of split learning.☆54Updated last year
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆78Updated 3 years ago
- ☆161Updated 2 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆132Updated 2 years ago
- Model-Contrastive Federated Learning (CVPR 2021)☆291Updated 3 years ago
- ☆15Updated 4 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆68Updated 10 months ago
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆70Updated 3 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆159Updated 4 years ago