iQua / flsimLinks
A simulation framework for Federated Learning written in PyTorch
☆207Updated 3 years ago
Alternatives and similar repositories for flsim
Users that are interested in flsim are comparing it to the libraries listed below
Sorting:
- On the Convergence of FedAvg on Non-IID Data☆266Updated 2 years ago
- D-DQN Reinforcement Learning for device selection in Federated Learning☆41Updated 2 years ago
- Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning☆132Updated 5 years ago
- Implement FedAvg algorithm based on Tensorflow☆253Updated 4 years ago
- ☆31Updated 3 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆174Updated 4 years ago
- ☆96Updated 3 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆163Updated 2 years ago
- CMFL: Mitigating Communication Overhead for Federated Learning / PyTorch reimplementation.☆29Updated 5 years ago
- Releasing the source code Version1.☆166Updated 3 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆80Updated 3 years ago
- Code for paper "Adaptive Federated Learning in Resource Constrained Edge Computing Systems"☆281Updated 2 months ago
- Fair Resource Allocation in Federated Learning (ICLR '20)☆250Updated 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☆171Updated 2 years ago
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆41Updated 3 years ago
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆192Updated 3 months 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.☆217Updated 4 years ago
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆297Updated 3 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆116Updated 4 years ago
- Active Client Selection for Federated Learning☆48Updated 2 years ago
- Accenture Labs Federated Learning☆104Updated last year
- FedMD: Heterogenous Federated Learning via Model Distillation☆157Updated 4 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆84Updated last year
- This repository implements FEDL using pytorch☆55Updated 4 years ago
- Code and data accompanying the FedGen paper☆252Updated 9 months ago
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆49Updated 2 years ago
- Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"☆75Updated 4 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆240Updated last year
- [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Che…☆72Updated 3 years ago