Minki-Kim95 / Federated-Learning-and-Split-Learning-with-raspberry-piLinks
SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things
☆113Updated 4 years ago
Alternatives and similar repositories for Federated-Learning-and-Split-Learning-with-raspberry-pi
Users that are interested in Federated-Learning-and-Split-Learning-with-raspberry-pi are comparing it to the libraries listed below
Sorting:
- Investigating Split Learning and Federate Learning☆85Updated 5 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☆173Updated 2 years ago
- ☆96Updated 3 years ago
- Releasing the source code Version1.☆171Updated 4 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆68Updated 10 months ago
- SCAFFOLD and FedAvg implementation☆61Updated 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
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆193Updated 5 months ago
- ☆54Updated 3 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆177Updated 4 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆163Updated 2 years ago
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆301Updated 3 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆82Updated 3 years ago
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆78Updated 3 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆158Updated 4 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆241Updated last year
- On the Convergence of FedAvg on Non-IID Data☆269Updated 2 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆147Updated 3 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆131Updated 2 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆118Updated 4 years ago
- A simulation framework for Federated Learning written in PyTorch☆209Updated 3 years ago
- Fair Resource Allocation in Federated Learning (ICLR '20)☆250Updated last year
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆62Updated 2 years ago
- Code and data accompanying the FedGen paper☆252Updated 11 months ago
- Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning☆135Updated 5 years ago
- Accenture Labs Federated Learning☆105Updated last year
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆221Updated 4 years ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆122Updated 3 years ago
- ☆32Updated 3 years ago
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆93Updated 3 years ago