SymbioticLab / FedScaleLinks
FedScale is a scalable and extensible open-source federated learning (FL) platform.
☆409Updated 2 years ago
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☆131Updated 4 years ago
- Plato: A Research Framework for Federated Learning☆393Updated this week
- Federated Learning Simulator (FLSim) is a flexible, standalone core library that simulates FL settings with a minimal, easy-to-use API. F…☆266Updated 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☆179Updated 2 years ago
- ☆48Updated 3 years ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆153Updated 2 years ago
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆309Updated 3 years ago
- 📦 Collect some Asynchronous Federated Learning papers.☆123Updated 2 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆244Updated last year
- ☆179Updated last year
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆185Updated 4 years ago
- On the Convergence of FedAvg on Non-IID Data☆275Updated 3 years ago
- Federated Optimization in Heterogeneous Networks (MLSys '20)☆719Updated 2 years ago
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆193Updated 9 months ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆121Updated 5 years ago
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆613Updated last year
- Code and data accompanying the FedGen paper☆258Updated last year
- [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Che…☆71Updated 3 years ago
- Privacy Preserving Vertical Federated Learning☆222Updated 2 years ago
- Implementation of dp-based federated learning framework using PyTorch☆314Updated 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☆178Updated 7 months ago
- Leaf: A Benchmark for Federated Settings☆898Updated 2 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆166Updated 3 years ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆226Updated 5 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆161Updated 4 years ago
- A collection of Google research projects related to Federated Learning and Federated Analytics.☆743Updated 7 months ago
- ☆96Updated 4 years ago
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆65Updated last year
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆42Updated 4 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆157Updated 3 years ago