pringlesinghal / GreedyFed
Codebase for "Greedy Shapley Client Selection for Communication-Efficient Federated Learning"
☆16Updated last year
Alternatives and similar repositories for GreedyFed:
Users that are interested in GreedyFed are comparing it to the libraries listed below
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆40Updated 2 years ago
- ☆11Updated last year
- ☆31Updated 2 years ago
- Federated learning client selection☆19Updated last year
- Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge☆37Updated 2 years ago
- Source code for the paper "Asynchronous Federated Optimization"☆25Updated 2 years ago
- Codes for the paper FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning☆46Updated 2 years ago
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆35Updated last year
- A project for simulation of Asynchronous Federated Learning☆21Updated 3 years ago
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆38Updated 3 years ago
- D-DQN Reinforcement Learning for device selection in Federated Learning☆41Updated last year
- Active Client Selection for Federated Learning☆42Updated last year
- Decentralized federated learning of deep neural networks on non-iid data☆40Updated 2 years ago
- This repo implements FedU, a multitask learning framework for federated learning☆26Updated 2 years ago
- This repository implements FEDL using pytorch☆52Updated 4 years ago
- Official code for "Federated Learning under Heterogeneous and Correlated Client Availability" (INFOCOM'23)☆28Updated 2 years ago
- An implementation of FedPAQ using different experimental parameters. We will be looking at different variations of how, r(number of clien…☆22Updated 3 years ago
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆47Updated 2 years ago
- simulation of the asynchronous federated learning system of paper "Asynchronous Federated Optimization"☆21Updated 3 years ago
- Code and raw result data for paper: AsyncFedED: Asynchronous Federated Learning with Euclidean Distance based Adaptive Weight Aggregation☆5Updated 2 years ago
- Federated learning with model quantization☆14Updated 3 years ago
- 完全去中心化联邦学习☆23Updated last year
- Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning☆118Updated 4 years ago
- The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".☆28Updated 2 years ago
- ☆23Updated last year
- [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Che…☆71Updated 2 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆75Updated 2 years ago
- ☆23Updated last year
- fully ready experiments☆36Updated 2 years ago
- Asynchronous Federated Learning☆18Updated 3 years ago