SMILELab-FL / FedLab-benchmarks
Standard federated learning implementations in FedLab and FL benchmarks.
☆155Updated last year
Alternatives and similar repositories for FedLab-benchmarks:
Users that are interested in FedLab-benchmarks are comparing it to the libraries listed below
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆165Updated 3 years ago
- On the Convergence of FedAvg on Non-IID Data☆259Updated 2 years ago
- Code and data accompanying the FedGen paper☆250Updated 4 months ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆230Updated 7 months ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆118Updated 2 years ago
- ☆174Updated last year
- Implementation of dp-based federated learning framework using PyTorch☆294Updated last year
- Implement FedAvg algorithm based on Tensorflow☆240Updated 4 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆78Updated 7 months ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆151Updated 3 years ago
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆189Updated 10 months ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆139Updated 2 years ago
- Accenture Labs Federated Learning☆97Updated 11 months ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆158Updated 2 years ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆209Updated 4 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆122Updated last year
- ☆172Updated 4 months ago
- 联邦学习模块化框架，支持各类FL。A universal federated learning framework, free to switch thread and process modes☆159Updated last month
- Releasing the source code Version1.☆144Updated 3 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆112Updated 4 years ago
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆581Updated last year
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆144Updated 2 months ago
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆293Updated 2 years ago
- This repository contains all the implementation of different papers on Federated Learning☆43Updated 4 years ago
- Paper collection of federated learning. Conferences and Journals Collection for Federated Learning from 2019 to 2021, Accepted Papers, Ho…☆96Updated 2 years ago
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆75Updated 3 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆61Updated 2 months ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆141Updated 2 years ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆61Updated last year
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆123Updated 3 months ago