SymbioticLab / FedScaleLinks
FedScale is a scalable and extensible open-source federated learning (FL) platform.
☆398Updated last year
Alternatives and similar repositories for FedScale
Users that are interested in FedScale are comparing it to the libraries listed below
Sorting:
- Oort: Efficient Federated Learning via Guided Participant Selection☆126Updated 3 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆237Updated 10 months ago
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆597Updated last year
- Federated Learning Simulator (FLSim) is a flexible, standalone core library that simulates FL settings with a minimal, easy-to-use API. F…☆259Updated 9 months ago
- ☆175Updated 7 months ago
- Leaf: A Benchmark for Federated Settings☆887Updated 2 years ago
- A federated learning framework to support scalable and reproducible research☆366Updated 6 months ago
- Federated Optimization in Heterogeneous Networks (MLSys '20)☆683Updated 2 years ago
- Code and data accompanying the FedGen paper☆252Updated 7 months ago
- On the Convergence of FedAvg on Non-IID Data☆267Updated 2 years ago
- Implementation of dp-based federated learning framework using PyTorch☆300Updated 2 years ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆213Updated 4 years ago
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆191Updated last month
- Standard federated learning implementations in FedLab and FL benchmarks.☆153Updated last year
- An easy-to-use federated learning platform☆298Updated last year
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆175Updated 4 years ago
- Handy PyTorch implementation of Federated Learning (for your painless research)☆440Updated last year
- A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.☆771Updated 9 months ago
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆296Updated 3 years ago
- Code for Federated Learning with Matched Averaging, ICLR 2020.☆338Updated 3 years ago
- A simulation framework for Federated Learning written in PyTorch☆206Updated 3 years ago
- Model-Contrastive Federated Learning (CVPR 2021)☆280Updated 2 years ago
- Fair Resource Allocation in Federated Learning (ICLR '20)☆248Updated 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☆165Updated 2 years ago
- ☆158Updated 2 years ago
- A collection of Google research projects related to Federated Learning and Federated Analytics.☆722Updated 10 months ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆162Updated 2 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆154Updated 4 years ago
- [ICLR'21] FedBN: Federated Learning on Non-IID Features via Local Batch Normalization☆254Updated 2 years ago
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆386Updated 7 months ago