TsingZ0 / FedALA
AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning
☆129Updated 5 months ago
Alternatives and similar repositories for FedALA:
Users that are interested in FedALA are comparing it to the libraries listed below
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆87Updated last year
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆148Updated 2 years ago
- PyTorch implementation of FedPer (Federated Learning with Personalization Layers).☆72Updated 2 years ago
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆70Updated 2 years ago
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆147Updated last week
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆82Updated 8 months ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆64Updated 4 months ago
- ☆175Updated 2 years ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆85Updated 2 years ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆63Updated last year
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆106Updated 2 years ago
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆68Updated 2 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆83Updated 3 years ago
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆148Updated 3 months ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆121Updated 2 years ago
- Code and data accompanying the FedGen paper☆252Updated 5 months ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆170Updated 4 years ago
- Pytorch implementations of some general federated optimization methods.☆39Updated 5 months ago
- PyTorch Implementation of Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach☆52Updated 2 years ago
- ☆74Updated 4 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆162Updated 2 years ago
- Official Code for PACFL AAAI 2023☆43Updated last year
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆143Updated 2 years ago
- ☆77Updated 3 years ago
- ☆62Updated 5 months ago
- fully ready experiments☆37Updated 2 years ago
- ☆45Updated last year
- FedMD: Heterogenous Federated Learning via Model Distillation☆154Updated 3 years ago
- Accenture Labs Federated Learning☆99Updated last year
- Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"☆74Updated 4 years ago