TsingZ0 / FedALALinks
AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning
☆137Updated 7 months ago
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☆154Updated 3 years ago
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆90Updated 2 years ago
- ☆175Updated 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
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆84Updated 11 months ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆67Updated last year
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆85Updated 3 years ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆108Updated 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
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆123Updated 2 years ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆86Updated 2 years ago
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆68Updated 2 years ago
- Model-Contrastive Federated Learning (CVPR 2021)☆281Updated 2 years ago
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆150Updated 6 months ago
- ☆77Updated 3 years ago
- ☆74Updated 4 years ago
- This is official implementation of FedTP (TNNLS.2023) [https://ieeexplore.ieee.org/abstract/document/10130784].☆58Updated last year
- Simplified Implementation of FedPAC☆59Updated last year
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆174Updated 4 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆128Updated 2 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆163Updated 2 years ago
- PyTorch Implementation of Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach☆54Updated 2 years ago
- Code Implementation and Informations about FedAS☆25Updated 4 months ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆63Updated 6 months ago
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆49Updated 5 months ago
- ☆49Updated last year
- Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"☆75Updated 4 years ago
- Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]☆59Updated 2 years ago
- ☆49Updated 5 months ago