ysyisyourbrother / Federated-Learning-Research
An implementation of federated learning research baseline methods based on FedML-core, which can be deployed on real distributed cluster and help researchers to explore more problems existing in real FL systems.
☆23Updated 2 years ago
Related projects: ⓘ
- [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Che…☆66Updated 2 years ago
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆45Updated last year
- 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☆140Updated 3 weeks ago
- Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning☆101Updated 4 years ago
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆38Updated 2 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆65Updated 2 years ago
- Releasing the source code Version1.☆122Updated 3 years ago
- Implemented D-DQN Reinforcement Learning for device selection in Federated Learning☆37Updated last year
- A project for simulation of Asynchronous Federated Learning☆20Updated 3 years ago
- CMFL: Mitigating Communication Overhead for Federated Learning / PyTorch reimplementation.☆27Updated 4 years ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆54Updated 11 months ago
- Implementation of the paper "Self-Balancing Federated Learning With Global Imbalanced Data in Mobile Systems"☆46Updated 9 months ago
- Oort: Efficient Federated Learning via Guided Participant Selection☆122Updated 2 years ago
- simulation of the asynchronous federated learning system of paper "Asynchronous Federated Optimization"☆19Updated 2 years ago
- ☆42Updated 2 years ago
- Papers related to federated learning in top conferences (2020-2024).☆65Updated 2 months ago
- diaoenmao / HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆143Updated last year
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆134Updated 2 years ago
- Resource Efficient Federated Learning☆23Updated last year
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆76Updated 2 years ago
- "Efficient Federated Learning for Modern NLP", to appear at MobiCom 2023.☆30Updated last year
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆111Updated last year
- ☆28Updated 3 years ago
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆57Updated 3 weeks ago
- Pytorch implementations of some general federated optimization methods.☆34Updated 5 months ago
- A simulation framework for Federated Learning written in PyTorch☆190Updated 2 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆102Updated 3 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆77Updated last month
- [ICLR2023] Official Implementation of Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (http…☆60Updated last year
- Investigating Split Learning and Federate Learning☆72Updated 4 years ago