CGCL-codes / FedGKDLinks
☆27Updated 2 years ago
Alternatives and similar repositories for FedGKD
Users that are interested in FedGKD are comparing it to the libraries listed below
Sorting:
- 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
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆164Updated 3 years ago
- ☆75Updated 4 years ago
- Federated Learning Algorithm (Pytorch) : FedAvg, FedProx, MOON, SCAFFOLD, FedDyn☆25Updated 11 months ago
- The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".☆29Updated 2 years ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆39Updated 2 years ago
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆142Updated 11 months ago
- fully ready experiments☆39Updated 3 years ago
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆64Updated last year
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆160Updated 10 months ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆82Updated 3 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆177Updated 4 years ago
- Simplified Implementation of FedPAC☆60Updated last year
- ☆15Updated 4 years ago
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆84Updated last year
- ☆178Updated 2 years ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆73Updated last year
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆87Updated last year
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆58Updated 10 months ago
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆91Updated 2 years ago
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆54Updated 2 weeks ago
- Accenture Labs Federated Learning☆105Updated last year
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆132Updated 2 years ago
- ☆76Updated last year
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆200Updated last month
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆68Updated 10 months 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
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆70Updated 3 years ago
- ☆53Updated last year
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆89Updated 2 years ago