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 3 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 3 years ago
- Federated Learning on object detection☆48Updated 2 years ago
- Official code for "Throughput-Optimal Topology Design for Cross-Silo Federated Learning" (NeurIPS'20)☆32Updated 3 years ago
- Applied Split Learning in PyTorch with torch.distributed.rpc and torch.distributed.autograd☆27Updated 3 years ago
- Federated Dynamic Sparse Training☆32Updated 3 years ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆122Updated 3 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"…☆86Updated 5 years ago
- ☆22Updated 4 years ago
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆94Updated 3 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆87Updated 3 years ago
- Official code implementation for "Personalized Federated Learning using Hypernetworks" [ICML 2021]☆194Updated 2 years ago
- Code for ScaleFL☆30Updated 2 years ago
- Code and data accompanying the FedGen paper☆255Updated 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☆177Updated 2 years ago
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆73Updated 2 years ago
- Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]☆61Updated 3 years ago
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆47Updated 2 years ago
- Releasing the source code Version1.☆173Updated 4 years ago
- Official Code for PACFL AAAI 2023☆44Updated 2 years ago
- PyTorch implementation of: D. Shenaj, M. Toldo, A. Rigon and P. Zanuttigh, “Asynchronous Federated Continual Learning”, CVPR 2023 Worksho…☆40Updated 2 years ago
- Investigating Split Learning and Federate Learning☆86Updated 5 years ago
- Source code for the paper "Federated Learning with Spiking Neural Networks".☆37Updated 4 years ago
- Attentive Federated Learning for Private NLM☆60Updated last year
- ICCV 2023 accepted paper, GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning☆25Updated last year
- Code Implementation and Informations about FedAS☆33Updated 9 months ago
- ☆54Updated 3 years ago
- This repo implements FedU, a multitask learning framework for federated learning☆29Updated 6 months ago
- The official implementation of "Federated Learning with Label-Masking Distillation"☆10Updated 2 years ago
- Federated Learning with Partial Model Personalization☆43Updated 3 years ago