This repository contains the code for the paper accepted by IJCAI-2022: Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning.
☆12Sep 2, 2022Updated 3 years ago
Alternatives and similar repositories for pFL-APPLE
Users that are interested in pFL-APPLE are comparing it to the libraries listed below
Sorting:
- This repository is the official implementation of 'EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Lea…☆14Aug 2, 2022Updated 3 years ago
- This is the repository for the work "An ensemble mechanism to tackle the heterogeneity in asynchronous federated learning"☆11Nov 19, 2021Updated 4 years ago
- ☆16Aug 25, 2021Updated 4 years ago
- Diverse Client Selection for Federated Learning via Submodular Maximization☆35Aug 3, 2022Updated 3 years ago
- fully ready experiments☆38Jul 18, 2022Updated 3 years ago
- Source code for "FedSoft: Soft Clustered Federated Learning with Proximal Local Updating"☆20Apr 28, 2022Updated 3 years ago
- Asynchronous Federated Learning☆20Oct 5, 2021Updated 4 years ago
- [ICML2022] ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training☆23Oct 17, 2022Updated 3 years ago
- IJCAI-Personalized Federated Learning with Graph☆57May 27, 2023Updated 2 years ago
- simulation of the asynchronous federated learning system of paper "Asynchronous Federated Optimization"☆23Nov 19, 2021Updated 4 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆71Dec 9, 2024Updated last year
- [ICML 2023] FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction☆27Mar 7, 2024Updated last year
- [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Che…☆71Jul 25, 2022Updated 3 years ago
- PyTorch implementation of FedPer (Federated Learning with Personalization Layers).☆80Aug 6, 2022Updated 3 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆84Jul 12, 2022Updated 3 years ago
- ☆43Dec 8, 2021Updated 4 years ago
- [CVPRW'22] A privacy attack that exploits Adversarial Training models to compromise the privacy of Federated Learning systems.☆12Jul 7, 2022Updated 3 years ago
- Federated Dynamic Sparse Training☆32May 26, 2022Updated 3 years ago
- Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge☆43Jun 30, 2022Updated 3 years ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆40Nov 13, 2022Updated 3 years ago
- Official implementation of Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective☆13Sep 4, 2024Updated last year
- Minimalist template for data science projects☆10Apr 29, 2023Updated 2 years ago
- Contribution Measurement Experiment for Federated Learning☆10Jul 20, 2022Updated 3 years ago
- Asynchronous Federated Learning MNIST Image Classifier using Convolutional Neural-Network☆10Nov 15, 2022Updated 3 years ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆44Jun 12, 2023Updated 2 years ago
- Samples of multi-class text classification with Differential Privacy Tensorflow 2.0☆11Feb 8, 2020Updated 6 years ago
- Code for publication on FL incentive mechanism design☆11Sep 12, 2024Updated last year
- Pytorch Code for FedHyper☆11Aug 28, 2024Updated last year
- ☆9Apr 22, 2022Updated 3 years ago
- A repo about deep learning and PyTorch covering basics, projects and ideas☆11Jan 31, 2021Updated 5 years ago
- ICML 2024 - Self-Driven Entropy Aggregation for Byzantine-Robust Heterogeneous Federated Learning☆10Jul 16, 2024Updated last year
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆41Dec 2, 2021Updated 4 years ago
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆41Oct 9, 2022Updated 3 years ago
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆47Apr 12, 2023Updated 2 years ago
- 使用uniapp编写的万年历,日历。可展示农历、假期、调休、黄历、最近假期☆15Apr 2, 2022Updated 3 years ago
- [NeurIPS 2023]Federated Learning with Bilateral Curation for Partially Class-Disjoint Data☆14Aug 1, 2025Updated 7 months ago
- Federated Adversrial Learning/ Training Framework. A testing ground for conducting relevant research.☆11Oct 9, 2022Updated 3 years ago
- Simple Voxel Raytracer using SDL3 GPU with compute shaders☆17Jan 19, 2026Updated last month
- Welcome to FLSim_V2, a PyTorch based federated Reinforcement learning simulation framework☆10Dec 15, 2022Updated 3 years ago