TsingZ0 / FedALALinks
AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning
☆142Updated last year
Alternatives and similar repositories for FedALA
Users that are interested in FedALA are comparing it to the libraries listed below
Sorting:
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆165Updated 3 years ago
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆92Updated 2 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆88Updated last year
- Model-Contrastive Federated Learning (CVPR 2021)☆290Updated 3 years ago
- ☆180Updated 2 years ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆89Updated 2 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆87Updated 3 years ago
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆165Updated 10 months ago
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆70Updated 3 years ago
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆206Updated 2 months ago
- Code and data accompanying the FedGen paper☆254Updated last year
- PyTorch implementation of FedPer (Federated Learning with Personalization Layers).☆78Updated 3 years ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆112Updated 3 years ago
- Simplified Implementation of FedPAC☆60Updated last year
- ☆26Updated 2 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆164Updated 3 years ago
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆72Updated 2 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆68Updated 11 months ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆75Updated last year
- Personalized federated learning codebase for research☆402Updated 2 years ago
- Code Implementation and Informations about FedAS☆32Updated 9 months ago
- ☆75Updated 5 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆149Updated 3 years ago
- ☆51Updated 10 months ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆179Updated 4 years ago
- Official Code for PACFL AAAI 2023☆44Updated 2 years ago
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆59Updated 10 months ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆122Updated 3 years ago
- ☆80Updated 3 years ago
- fully ready experiments☆39Updated 3 years ago