SyedUmaidAhmed / Federated-and-Split-Learning-on-EdgeLinks
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.
☆13Updated 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
Sorting:
- LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning (2021 IEEE/ACM Symposium on Edge Co…☆41Updated 2 years ago
- Applied Split Learning in PyTorch with torch.distributed.rpc and torch.distributed.autograd☆27Updated 3 years ago
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆94Updated 3 years ago
- Framework that supports pipeline federated split learning with multiple hops.☆13Updated this week
- Source code for the paper "Federated Learning with Spiking Neural Networks".☆38Updated 4 years ago
- Official code for "Throughput-Optimal Topology Design for Cross-Silo Federated Learning" (NeurIPS'20)☆32Updated 3 years ago
- [DMLR 2024] FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things☆58Updated last year
- Federated Dynamic Sparse Training☆32Updated 3 years ago
- Code for Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence☆15Updated 4 years ago
- Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity☆43Updated 4 years ago
- Official Code for PACFL AAAI 2023☆43Updated 2 years ago
- FedNAS: Federated Deep Learning via Neural Architecture Search☆54Updated 4 years ago
- Attentive Federated Learning for Private NLM☆60Updated last year
- diaoenmao / HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆174Updated 2 years ago
- Code and data accompanying the FedGen paper☆252Updated 11 months ago
- ICCV 2023 accepted paper, GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning☆25Updated 11 months ago
- Official Pytorch implementation of "Communication-Efficient Federated Learning with Compensated Overlap-FedAvg"☆22Updated 4 years ago
- Official code implementation for "Personalized Federated Learning using Hypernetworks" [ICML 2021]☆191Updated 2 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆159Updated 4 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆84Updated 5 years ago
- ☆24Updated last year
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆48Updated 2 years ago
- Pytorch-based early exit network inspired by branchynet☆34Updated 5 months ago
- ☆33Updated 5 years ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆122Updated 3 years ago
- The official implementation of "Federated Learning with Label-Masking Distillation"☆10Updated last year
- Official implementations for "Communication-Efficient Diffusion Strategy for Performance Improvement of Federated Learning with Non-IID D…☆22Updated last year
- Code for ScaleFL☆31Updated 2 years ago
- ☆22Updated 4 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆86Updated 3 years ago