SymbioticLab / FedScaleLinks
FedScale is a scalable and extensible open-source federated learning (FL) platform.
☆405Updated 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☆130Updated 4 years ago
- Plato: A Research Framework for Federated Learning☆388Updated last week
- Federated Learning Simulator (FLSim) is a flexible, standalone core library that simulates FL settings with a minimal, easy-to-use API. F…☆264Updated last year
- Federated Optimization in Heterogeneous Networks (MLSys '20)☆703Updated 2 years ago
- 📦 Collect some Asynchronous Federated Learning papers.☆122Updated last year
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆609Updated 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☆177Updated 2 years ago
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆306Updated 3 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆242Updated last year
- Leaf: A Benchmark for Federated Settings☆894Updated 2 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆181Updated 4 years ago
- On the Convergence of FedAvg on Non-IID Data☆270Updated 3 years ago
- Federated Learning Systems Paper List☆75Updated last year
- ☆47Updated 3 years ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆153Updated last year
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆223Updated 5 years ago
- Code and data accompanying the FedGen paper☆256Updated last year
- Implementation of dp-based federated learning framework using PyTorch☆313Updated 2 years ago
- A collection of Google research projects related to Federated Learning and Federated Analytics.☆737Updated 6 months ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆120Updated 5 years ago
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆192Updated 8 months ago
- A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.☆810Updated last month
- 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☆176Updated 5 months ago
- Code for Federated Learning with Matched Averaging, ICLR 2020.☆341Updated 4 years ago
- SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things☆114Updated 4 years ago
- An easy-to-use federated learning platform☆300Updated 2 years ago
- ☆177Updated last year
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆165Updated 3 years ago
- [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Che…☆71Updated 3 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆159Updated 4 years ago