mlpotter / SplitLearning
Applied Split Learning in PyTorch with torch.distributed.rpc and torch.distributed.autograd
☆20Updated 2 years ago
Related projects: ⓘ
- A curated repository for various papers in the domain of split learning.☆39Updated last month
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆65Updated 2 years ago
- Releasing the source code Version1.☆122Updated 3 years ago
- ☆23Updated 9 months ago
- ☆12Updated 3 months ago
- This repo implements FedU, a multitask learning framework for federated learning☆27Updated 2 years ago
- An implementation of FedPAQ using different experimental parameters. We will be looking at different variations of how, r(number of clien…☆22Updated 3 years ago
- Investigating Split Learning and Federate Learning☆72Updated 4 years ago
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆76Updated 2 years ago
- demo☆17Updated 3 years ago
- Decentralized federated learning of deep neural networks on non-iid data☆37Updated 2 years ago
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆64Updated 2 years ago
- ☆30Updated 2 years ago
- LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning (2021 IEEE/ACM Symposium on Edge Co…☆39Updated last year
- Federated learning with model quantization☆14Updated 2 years ago
- SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things☆99Updated 3 years ago
- inherit from https://github.com/iqua/flsim☆9Updated 3 years ago
- Implemented D-DQN Reinforcement Learning for device selection in Federated Learning☆37Updated last year
- [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Che…☆66Updated 2 years ago
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆45Updated last year
- [UbiComp/IMWUT '23] Hierarchical Clustering-based Personalized Federated Learning for Robust and Fair Human Activity Recognition☆20Updated 4 months ago
- Official implementations for "Communication-Efficient Diffusion Strategy for Performance Improvement of Federated Learning with Non-IID D…☆19Updated 6 months ago
- Federated Dynamic Sparse Training☆30Updated 2 years ago
- CMFL: Mitigating Communication Overhead for Federated Learning / PyTorch reimplementation.☆27Updated 4 years ago
- ☆52Updated 2 years ago
- ☆22Updated 3 years ago
- Code Implemntion from the article Multi-Armed Bandit Based Client Schedulingfor Federated Learning☆16Updated 3 years ago
- SCAFFOLD and FedAvg implementation☆58Updated 3 years ago
- This repository contains all the implementation of different papers on Federated Learning☆43Updated 4 years ago
- The code for the paper "QuAFL: Federated Averaging Can Be Both Asynchronous and Communication-Efficient"☆15Updated last year