Track Federated Learning Papers
☆38Mar 6, 2026Updated this week
Alternatives and similar repositories for FL-paper-update-tracker
Users that are interested in FL-paper-update-tracker are comparing it to the libraries listed below
Sorting:
- (CVPR 2024) FLHetBench: Benchmarking Device and State Heterogeneity in Federated Learning☆20Jun 21, 2024Updated last year
- KDD 2023 accepted paper, FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy☆33Dec 17, 2024Updated last year
- Practical Vertical Federated Learning with Unsupervised Representation Learning (TBD 2022)☆22Feb 21, 2022Updated 4 years ago
- Surrogate Model Dacefit☆12Mar 27, 2019Updated 6 years ago
- ☆12Jan 16, 2024Updated 2 years ago
- Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)☆1,951Oct 5, 2025Updated 5 months ago
- This repository is a collection of awesome things about federated domain generalization, including papers, code, etc.☆15Aug 25, 2025Updated 6 months ago
- ☆10Aug 19, 2023Updated 2 years ago
- (CVPR 2024) Official Implementation of "FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning"☆15Jun 28, 2024Updated last year
- ☆16Aug 25, 2021Updated 4 years ago
- [CVPR2024] Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts☆32Jun 18, 2024Updated last year
- ☆31Mar 12, 2023Updated 2 years ago
- Official codes for FNBench: Benchmarking Robust Federated Learning against Noisy Labels☆18Feb 24, 2026Updated last week
- [IEEE TMI'23] IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation☆12Apr 2, 2023Updated 2 years ago
- CVPR 2024 - Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity☆28May 28, 2024Updated last year
- [CVPR-2024] Text-Enhanced Data-free Approach for Federated Class-Incremental Learning☆18Dec 26, 2024Updated last year
- PyTorch implementation of: D. Shenaj, M. Toldo, A. Rigon and P. Zanuttigh, “Asynchronous Federated Continual Learning”, CVPR 2023 Worksho…☆43Jul 15, 2023Updated 2 years ago
- 武汉大学本科毕设代码--图联邦学习系统设计与实现☆14Jun 5, 2023Updated 2 years ago
- Official repository for the paper "FedLPPA: Learning Personalized Prompt and Aggregation for Federated Weakly-supervised Medical Image Se…☆18May 20, 2025Updated 9 months 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
- ☆38Dec 5, 2025Updated 3 months ago
- 思源文档导航插件 A siyuan-note plugin that shows document navigation under the title.☆17Feb 5, 2026Updated last month
- ☆19Nov 17, 2023Updated 2 years ago
- Eluding Secure Aggregation in Federated Learning via Model Inconsistency☆13Mar 10, 2023Updated 2 years ago
- This is the formal code implementation of the CVPR 2024 paper 'Traceable Federated Continual Learning'.☆18May 31, 2024Updated last year
- Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning☆41Apr 3, 2023Updated 2 years ago
- ☆18Jul 13, 2025Updated 7 months ago
- ☆20Feb 25, 2024Updated 2 years ago
- [ICCV 2023] Subclass-balancing contrastive learning for long-tailed recognition☆18Oct 30, 2023Updated 2 years ago
- ☆47Apr 26, 2024Updated last year
- Global and Local Prompts Cooperation via Optimal Transport for Federated Learning☆51Apr 3, 2024Updated last year
- ☆17Aug 5, 2024Updated last year
- ☆48Jun 2, 2022Updated 3 years ago
- [NeurIPS 2023] "FedFed: Feature Distillation against Data Heterogeneity in Federated Learning"☆118Nov 9, 2025Updated 3 months ago
- This is the repository that introduces research topics related to protecting intellectual property (IP) of AI from a data-centric perspec…☆23Oct 30, 2023Updated 2 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
- Code for the NeurIPS 2020 paper: "Federated Bayesian Optimization via Thompson Sampling"☆26Nov 6, 2020Updated 5 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆158Apr 30, 2022Updated 3 years ago
- ☆119Aug 14, 2024Updated last year