SyedUmaidAhmed / Federated-and-Split-Learning-on-Edge
This is the official implementation of Federated and Split Learning on multiple Raspberry Pi's. It is the demonstration of training the data on edge devices without having threat to security issues.
☆12Updated 2 years ago
Alternatives and similar repositories for Federated-and-Split-Learning-on-Edge:
Users that are interested in Federated-and-Split-Learning-on-Edge are comparing it to the libraries listed below
- LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning (2021 IEEE/ACM Symposium on Edge Co…☆42Updated 2 years ago
- Framework that supports pipeline federated split learning with multiple hops.☆13Updated last month
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆86Updated 2 years ago
- Source code for the paper "Federated Learning with Spiking Neural Networks".☆37Updated 3 years ago
- Official Pytorch implementation of "Communication-Efficient Federated Learning with Compensated Overlap-FedAvg"☆22Updated 3 years ago
- ☆23Updated 4 years ago
- [DMLR 2024] FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things☆55Updated 8 months ago
- Official code for "Federated Learning under Heterogeneous and Correlated Client Availability" (INFOCOM'23)☆28Updated 2 years ago
- Official implementation for paper "No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation", I…☆17Updated last year
- Decentralized federated learning of deep neural networks on non-iid data☆46Updated 2 years ago
- Federated Dynamic Sparse Training☆30Updated 2 years ago
- Federated learning with model quantization☆16Updated 3 years ago
- Applied Split Learning in PyTorch with torch.distributed.rpc and torch.distributed.autograd☆25Updated 3 years ago
- Official implementations for "Communication-Efficient Diffusion Strategy for Performance Improvement of Federated Learning with Non-IID D…☆21Updated last year
- ☆23Updated last year
- Federated Learning with Partial Model Personalization☆42Updated 2 years ago
- ICCV 2023 accepted paper, GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning☆21Updated 5 months ago
- Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity☆42Updated 3 years ago
- ☆29Updated 5 years ago
- The open-souce code of FedFA: Federated Learning with Feature Anchors to Align Features and Classifiers for Heterogeneous Data, accepted …☆19Updated last year
- Code for paper "Accelerating Federated Learning for IoT in Big Data Analytics with Pruning, Quantization and Selective Updating"☆12Updated last year
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆64Updated 5 months ago
- Official code for "Throughput-Optimal Topology Design for Cross-Silo Federated Learning" (NeurIPS'20)☆30Updated 2 years ago
- ☆53Updated 3 years ago
- Code for Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence☆15Updated 4 years ago
- Official Code for PACFL AAAI 2023☆43Updated last year
- ☆10Updated last year
- FedGS: A Federated Group Synchronization Framework Implemented by LEAF-MX.☆22Updated last year
- ☆28Updated last year
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆62Updated last year