Pytorch implementations of some general federated optimization methods.
☆53Oct 25, 2024Updated last year
Alternatives and similar repositories for FL-Simulator
Users that are interested in FL-Simulator are comparing it to the libraries listed below
Sorting:
- [ICML 2024 spotlight] This repository contains the implementation details for the paper "Locally Estimated Global Perturbations are Bette…☆24Jul 29, 2024Updated last year
- [ICLR2023] Official Implementation of Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (http…☆70Feb 27, 2023Updated 3 years ago
- Paper: "Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices"☆18Jan 10, 2024Updated 2 years ago
- ☆22Sep 1, 2023Updated 2 years ago
- Federated Learning in CVPR2024☆20Jun 6, 2024Updated last year
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆63Aug 28, 2023Updated 2 years ago
- The open-souce code of FedFA: Federated Learning with Feature Anchors to Align Features and Classifiers for Heterogeneous Data, accepted …☆19Oct 21, 2023Updated 2 years ago
- Implementation of Pre-text invariant representation learning algorithm in pytorch☆11May 27, 2020Updated 5 years ago
- Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]☆61Sep 15, 2022Updated 3 years ago
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆47Feb 16, 2023Updated 3 years ago
- 🎓Automatically Update Distributed Learning Papers Daily using Github Actions (Update Every 12th hours)☆47Updated this week
- The pytorch code of FedDISC (Federated Diffusion-Inspired Semi-supervised Co-training method)☆11Sep 3, 2023Updated 2 years ago
- [NeurIPS 2023] "FedFed: Feature Distillation against Data Heterogeneity in Federated Learning"☆118Nov 9, 2025Updated 4 months ago
- [NeurIPS 2023] "FedFed: Feature Distillation against Data Heterogeneity in Federated Learning"☆23Oct 10, 2023Updated 2 years ago
- Code for Federated Generalized Bayesian Learning via Distributed Stein Variational Gradient Descent☆10Nov 19, 2020Updated 5 years ago
- (CVPR 2024) Uniformity and Variance for Heterogeneous Federated Learning☆11Mar 6, 2024Updated 2 years ago
- Cross-Silo Prototypical Calibration for Federated Learning with Non-IID Data☆11Dec 17, 2024Updated last year
- Q-RR, DIANA-RR, Q-NASTYA, NASTYA-DIANA, QSGD, DIANA, FedCOM and FedPAQ on logistic loss with L2 regularization☆10Nov 1, 2022Updated 3 years ago
- Benchmark of federated learning. Dedicated to the community. 🤗☆675Jan 25, 2026Updated last month
- Official implementation of DapperFL.☆13Oct 29, 2024Updated last year
- Official PyTorch implementation for the ICML 2023 paper "Out-of-Distribution Generalization of Federated Learning via Implicit Invariant …☆13Oct 31, 2023Updated 2 years ago
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆224Nov 29, 2025Updated 3 months ago
- ☆72Dec 8, 2025Updated 3 months ago
- The is the official implementation of ICCV 2023 paper "No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Syn…☆28Oct 27, 2023Updated 2 years ago
- The implementation of FedCADO (Classifier-Assisted Diffusion for One-shot Federated learning method)☆11Sep 10, 2025Updated 5 months ago
- Code for CVPR2023 DaFKD : Domain-aware Federated Knowledge Distillation☆29May 22, 2023Updated 2 years ago
- ☆87Jun 16, 2025Updated 8 months ago
- Simplified Implementation of FedPAC☆62Nov 30, 2023Updated 2 years ago
- Exploiting Label Skew in Federated Learning with Model Concatenation (AAAI 2024)☆14Dec 16, 2023Updated 2 years ago
- Repository for FedGF☆15Jun 21, 2024Updated last year
- ☆17Mar 6, 2024Updated 2 years ago
- ☆17Nov 5, 2024Updated last year
- Code and data accompanying the FedGen paper☆258Oct 31, 2024Updated last year
- Code for 'Robust Federated Learning with Noisy Labels'☆15Jun 28, 2021Updated 4 years ago
- FedGH: Heterogeneous Federated Learning with Generalized Global Header (MM'23)☆16Aug 6, 2023Updated 2 years ago
- ☆18Jul 20, 2022Updated 3 years ago
- A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.☆823Oct 20, 2025Updated 4 months ago
- Official Code for PACFL AAAI 2023☆45Aug 6, 2023Updated 2 years ago
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆41Oct 9, 2022Updated 3 years ago