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☆128Updated 3 years ago
- A federated learning framework to support scalable and reproducible research☆374Updated 8 months ago
- Federated Learning Simulator (FLSim) is a flexible, standalone core library that simulates FL settings with a minimal, easy-to-use API. F…☆260Updated 11 months ago
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆605Updated last year
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆240Updated last year
- Federated Optimization in Heterogeneous Networks (MLSys '20)☆684Updated 2 years ago
- 📦 Collect some Asynchronous Federated Learning papers.☆116Updated last year
- ☆174Updated 9 months ago
- Implementation of dp-based federated learning framework using PyTorch☆303Updated 2 years ago
- Code and data accompanying the FedGen paper☆252Updated 9 months ago
- On the Convergence of FedAvg on Non-IID Data☆266Updated 2 years ago
- diaoenmao / HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆171Updated 2 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆174Updated 4 years ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆153Updated last year
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆297Updated 3 years ago
- Leaf: A Benchmark for Federated Settings☆888Updated 2 years ago
- Privacy Preserving Vertical Federated Learning☆218Updated 2 years ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆217Updated 4 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆116Updated 4 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆157Updated 4 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆145Updated 3 years ago
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆192Updated 3 months ago
- ☆46Updated 3 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆163Updated 2 years ago
- An easy-to-use federated learning platform☆298Updated last year
- A collection of Google research projects related to Federated Learning and Federated Analytics.☆727Updated last month
- [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Che…☆72Updated 3 years ago
- ☆160Updated 2 years ago
- Federated Learning Systems Paper List☆73Updated last year
- ☆96Updated 3 years ago