ricsamikwa / RES-ThingsLinks
Adaptive Resource-Aware Split-Learning, a framework for efficient model training in IoT systems
☆13Updated last year
Alternatives and similar repositories for RES-Things
Users that are interested in RES-Things are comparing it to the libraries listed below
Sorting:
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆91Updated 3 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆80Updated 3 years ago
- CMFL: Mitigating Communication Overhead for Federated Learning / PyTorch reimplementation.☆29Updated 5 years ago
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆41Updated 3 years ago
- ☆31Updated 3 years ago
- This repository implements FEDL using pytorch☆55Updated 4 years ago
- [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Che…☆72Updated 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☆169Updated 2 years ago
- Releasing the source code Version1.☆166Updated 3 years ago
- SCAFFOLD and FedAvg implementation☆60Updated 3 years ago
- Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning☆129Updated 5 years ago
- D-DQN Reinforcement Learning for device selection in Federated Learning☆41Updated 2 years ago
- Investigating Split Learning and Federate Learning☆84Updated 5 years ago
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆49Updated 2 years ago
- A project for simulation of Asynchronous Federated Learning☆21Updated 3 years ago
- Decentralized federated learning of deep neural networks on non-iid data☆45Updated 3 years ago
- Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge☆41Updated 3 years ago
- Source code for the paper "Asynchronous Federated Optimization"☆25Updated 2 years ago
- Federated learning with model quantization☆16Updated 3 years ago
- Codes for the paper FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning☆46Updated 2 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆116Updated 4 years ago
- A simulation framework for Federated Learning written in PyTorch☆207Updated 3 years ago
- Resource Efficient Federated Learning☆23Updated 2 years ago
- simulation of the asynchronous federated learning system of paper "Asynchronous Federated Optimization"☆23Updated 3 years ago
- Codebase for "Greedy Shapley Client Selection for Communication-Efficient Federated Learning"☆18Updated last year
- ☆17Updated 5 years ago
- An implementation of FedPAQ using different experimental parameters. We will be looking at different variations of how, r(number of clien…☆21Updated 4 years ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆62Updated last year
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆39Updated 2 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆164Updated 2 years ago