pringlesinghal / GreedyFedLinks
Codebase for "Greedy Shapley Client Selection for Communication-Efficient Federated Learning"
☆19Updated 2 years ago
Alternatives and similar repositories for GreedyFed
Users that are interested in GreedyFed are comparing it to the libraries listed below
Sorting:
- This repository implements FEDL using pytorch☆56Updated 5 years ago
- ☆33Updated 3 years ago
- Federated learning client selection☆22Updated 2 years ago
- Codes for the paper FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning☆46Updated 2 years ago
- Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge☆43Updated 3 years ago
- Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning☆140Updated 5 years ago
- Active Client Selection for Federated Learning☆49Updated 2 years ago
- FEDL-Federated Learning algorithm using TensorFlow (Transaction on Networking 2021)☆58Updated 5 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
- An implementation of FedPAQ using different experimental parameters. We will be looking at different variations of how, r(number of clien…☆23Updated 4 years ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆39Updated 3 years ago
- Federated learning with model quantization☆16Updated 4 years ago
- Official code for "Federated Learning under Heterogeneous and Correlated Client Availability" (INFOCOM'23)☆29Updated 3 years ago
- ☆15Updated 2 years ago
- Decentralized federated learning of deep neural networks on non-iid data☆45Updated 3 years ago
- ☆14Updated 2 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆84Updated 3 years ago
- Code for 'Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing', published in IEEE TPDS.☆95Updated 3 years ago
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆96Updated 3 years ago
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆40Updated 2 years ago
- Source code for the paper "Asynchronous Federated Optimization"☆26Updated 3 years ago
- ☆11Updated 5 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☆177Updated 2 years ago
- LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning (2021 IEEE/ACM Symposium on Edge Co…☆42Updated 3 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆71Updated last year
- Adaptive Offloading of Federated Learning on IoT Devices☆76Updated 3 years ago
- simulation of the asynchronous federated learning system of paper "Asynchronous Federated Optimization"☆23Updated 4 years ago
- Official implementations for "Communication-Efficient Diffusion Strategy for Performance Improvement of Federated Learning with Non-IID D…☆22Updated last year
- Releasing the source code Version1.☆177Updated 4 years ago
- 完全去中心化联邦学习☆31Updated 2 years ago