JYWa / FedNovaLinks
PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.
☆218Updated 4 years ago
Alternatives and similar repositories for FedNova
Users that are interested in FedNova are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆241Updated last year
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆192Updated 5 months ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆146Updated 3 years ago
- ☆162Updated 2 years ago
- Code and data accompanying the FedGen paper☆251Updated 10 months ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆163Updated 2 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆158Updated 4 years ago
- ☆78Updated 3 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆175Updated 4 years ago
- On the Convergence of FedAvg on Non-IID Data☆267Updated 2 years ago
- ☆177Updated 2 years ago
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆299Updated 3 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆116Updated 4 years ago
- Model-Contrastive Federated Learning (CVPR 2021)☆288Updated 3 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆159Updated 3 years ago
- Accenture Labs Federated Learning☆104Updated last year
- diaoenmao / HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆172Updated 2 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆87Updated last year
- Code for Federated Learning with Matched Averaging, ICLR 2020.☆340Updated 3 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆85Updated 3 years ago
- ☆96Updated 3 years ago
- SCAFFOLD and FedAvg implementation☆60Updated 4 years ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆153Updated last year
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆84Updated 5 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆130Updated 2 years ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆123Updated 3 years ago
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆70Updated 2 years ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆87Updated 2 years ago
- Official code implementation for "Personalized Federated Learning using Hypernetworks" [ICML 2021]☆190Updated 2 years ago
- [ICLR'21] FedBN: Federated Learning on Non-IID Features via Local Batch Normalization☆260Updated 2 years ago