ZexiLee / ICML-2023-FedLAWView external linksLinks
The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".
☆62Aug 28, 2023Updated 2 years ago
Alternatives and similar repositories for ICML-2023-FedLAW
Users that are interested in ICML-2023-FedLAW are comparing it to the libraries listed below
Sorting:
- The is the official implementation of ICCV 2023 paper "No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Syn…☆27Oct 27, 2023Updated 2 years ago
- [ICML 2023] FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction☆27Mar 7, 2024Updated last year
- Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks☆26Nov 13, 2022Updated 3 years ago
- Towards Addressing Label Skews in One-Shot Federated Learning (ICLR 2023)☆17Nov 2, 2023Updated 2 years ago
- ☆12Oct 28, 2023Updated 2 years ago
- ☆18Mar 12, 2024Updated last year
- ☆72Dec 8, 2025Updated 2 months ago
- [ICLR'24] Heterogeneous Personalized Federated Learning by Local-Global Updates Mixing via Convergence Rate☆13Jun 17, 2025Updated 8 months ago
- [ICML 2023] Optimizing the Collaboration Structure in Cross-Silo Federated Learning. Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He.☆20Jul 25, 2023Updated 2 years ago
- ICLR 2023 - FedFA: Federated Feature Augmentation☆59Mar 28, 2023Updated 2 years ago
- The implementation of FedCADO (Classifier-Assisted Diffusion for One-shot Federated learning method)☆11Sep 10, 2025Updated 5 months ago
- [CVPRW 2023] "Many-Task Federated Learning: A New Problem Setting and A Simple Baseline" by Ruisi Cai, Xiaohan Chen, Shiwei Liu, Jayanth …☆13Aug 28, 2023Updated 2 years ago
- Official Implementation of ICML'23 "Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting".☆14Jun 9, 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 2 months ago
- One Model to Unite Them All: Personalized Federated Learning of Multi-Contrast MRI Synthesis (pFLSynth)☆27Jan 23, 2024Updated 2 years ago
- ☆29May 26, 2023Updated 2 years ago
- ☆29Dec 23, 2023Updated 2 years ago
- 【CVPR 2023】Learning Federated Visual Prompt in Null Space for MRI Reconstruction☆48Apr 1, 2023Updated 2 years ago
- ☆31Mar 12, 2023Updated 2 years ago
- [ICLR2023] Official Implementation of Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (http…☆70Feb 27, 2023Updated 2 years ago
- Pytorch implementations of some general federated optimization methods.☆52Oct 25, 2024Updated last year
- [ICML 2024] Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models☆35Sep 1, 2024Updated last year
- Code for CVPR2023 DaFKD : Domain-aware Federated Knowledge Distillation☆29May 22, 2023Updated 2 years ago
- [NeurIPS 2023] "FedFed: Feature Distillation against Data Heterogeneity in Federated Learning"☆118Nov 9, 2025Updated 3 months ago
- Codes for the paper FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning☆47Feb 11, 2023Updated 3 years ago
- KDD 2023 accepted paper, FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy☆32Dec 17, 2024Updated last year
- Code for novel methods for one-shot Federated Learning under high statistical heterogeneity.☆18Oct 2, 2023Updated 2 years ago
- ☆18Jul 20, 2022Updated 3 years ago
- The official implementation for the paper: "FedMLP: Federated Multi-Label Medical Image Classiffcation under Task Heterogeneity", which i…☆22Dec 27, 2024Updated last year
- Federated Bilevel Optimization☆16Jun 23, 2022Updated 3 years ago
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆63Dec 27, 2024Updated last year
- ☆87Jun 16, 2025Updated 8 months ago
- This is an official implementation for the ICLR2023 paper "The Best of Both Worlds: Accurate Global and Personalized Models through Feder…☆22Mar 4, 2025Updated 11 months ago
- ☆18Nov 1, 2025Updated 3 months ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆90Feb 24, 2023Updated 2 years ago
- ☆23Jul 19, 2021Updated 4 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.☆46Feb 16, 2023Updated 3 years ago
- Federated Learning with Partial Model Personalization☆42Jul 9, 2022Updated 3 years ago