Xtra-Computing / MOONLinks
Model-Contrastive Federated Learning (CVPR 2021)
☆298Updated 3 years ago
Alternatives and similar repositories for MOON
Users that are interested in MOON are comparing it to the libraries listed below
Sorting:
- Code and data accompanying the FedGen paper☆257Updated last year
- ☆182Updated 2 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆170Updated 3 years ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆226Updated 5 years ago
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆145Updated last year
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆168Updated last year
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆90Updated last year
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆155Updated 3 years ago
- Personalized federated learning codebase for research☆407Updated 2 years ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆89Updated 2 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆244Updated last year
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆95Updated 2 years ago
- ☆162Updated 3 years ago
- [ICLR'21] FedBN: Federated Learning on Non-IID Features via Local Batch Normalization☆267Updated 2 months ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆160Updated 4 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆88Updated 3 years ago
- ☆83Updated 4 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆165Updated 3 years ago
- Official code implementation for "Personalized Federated Learning using Hypernetworks" [ICML 2021]☆196Updated 2 years ago
- Simplified Implementation of FedPAC☆60Updated 2 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆133Updated 2 years ago
- Pytorch implementations of some general federated optimization methods.☆51Updated last year
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆184Updated 4 years ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆112Updated 3 years ago
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆306Updated 3 years ago
- ☆75Updated 5 years ago
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆70Updated 3 years ago
- An easy-to-use federated learning platform☆301Updated 2 years ago
- Accenture Labs Federated Learning☆106Updated last year
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆75Updated this week