unc-optimization / FedDRLinks
Implementation of FedDR algorithm for federated learning.
☆11Updated 3 years ago
Alternatives and similar repositories for FedDR
Users that are interested in FedDR are comparing it to the libraries listed below
Sorting:
- ☆54Updated 4 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆121Updated 5 years ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆226Updated 5 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆157Updated 3 years ago
- ☆83Updated 4 years ago
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆193Updated 9 months ago
- ☆10Updated 4 years ago
- Code of NeurIPS 2019 paper: Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients☆16Updated 5 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆86Updated 5 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆166Updated 3 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆90Updated last year
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆244Updated last year
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆185Updated 4 years ago
- ☆29Updated 3 years ago
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆77Updated 3 weeks ago
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆70Updated 3 years ago
- SCAFFOLD and FedAvg implementation☆61Updated 4 years ago
- Accenture Labs Federated Learning☆106Updated last year
- ☆164Updated 3 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆88Updated 3 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆133Updated 2 years ago
- Releasing the source code Version1.☆179Updated 4 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆148Updated 3 years ago
- ☆96Updated 4 years ago
- ☆43Updated 4 years ago
- Pytorch implementations of some general federated optimization methods.☆52Updated last year
- PyTorch Implementation of Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach☆55Updated 3 years ago
- ☆33Updated 3 years ago
- Investigating Split Learning and Federate Learning☆87Updated 5 years ago
- Robust aggregation for federated learning with the RFA algorithm.☆53Updated 3 years ago