Chenxing-Xuan / A-series-of-popular-science-in-federated-learningView external linksLinks
☆84Oct 23, 2024Updated last year
Alternatives and similar repositories for A-series-of-popular-science-in-federated-learning
Users that are interested in A-series-of-popular-science-in-federated-learning are comparing it to the libraries listed below
Sorting:
- Bilibili丸一口的笔录☆42Sep 27, 2025Updated 4 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 2 months ago
- CVPR 2024 accepted paper, An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in He…☆66Mar 12, 2025Updated 11 months ago
- [ICLR2023] Official Implementation of Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (http…☆70Feb 27, 2023Updated 2 years ago
- Master Federated Learning in 2 Hours—Run It on Your PC!☆2,062Jan 25, 2026Updated 3 weeks ago
- FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis, Accept…☆19Feb 19, 2025Updated 11 months ago
- Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)☆1,941Oct 5, 2025Updated 4 months ago
- Benchmark of federated learning. Dedicated to the community. 🤗☆671Jan 25, 2026Updated 3 weeks ago
- Differentially private federated learning: A systematic review (ACM Survey); Adap dp-fl: Differentially private federated learning with a…☆381Sep 2, 2025Updated 5 months ago
- 一款信息泄漏利用工具,适用于.git/.svn/.DS_Store泄漏和目录列出☆10Dec 29, 2024Updated last year
- Code for AISTATS'25 paper - On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond☆13Sep 23, 2025Updated 4 months ago
- Federated Learning Algorithm (Pytorch) : FedAvg, FedProx, MOON, SCAFFOLD, FedDyn☆27Nov 6, 2024Updated last year
- ☆16Aug 25, 2021Updated 4 years ago
- [ICLR'24] Heterogeneous Personalized Federated Learning by Local-Global Updates Mixing via Convergence Rate☆13Jun 17, 2025Updated 8 months ago
- The implementation of FedCADO (Classifier-Assisted Diffusion for One-shot Federated learning method)☆11Sep 10, 2025Updated 5 months ago
- Reimplmentation of Visualizing the Loss Landscape of Neural Nets with PyTorch 1.8☆31Nov 15, 2022Updated 3 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆84Jul 12, 2022Updated 3 years ago
- [AAAI 2024] FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning☆64Jan 21, 2024Updated 2 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆175May 26, 2022Updated 3 years ago
- Differentially Private Federated Learning: A Client Level Perspective☆12Jul 3, 2019Updated 6 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 paper "FedFisher: Leveraging Fisher Information for One-Shot Federated Learning" by Divyansh Jhunjhunwala, Shiqiang Wang, an…☆14Feb 10, 2024Updated 2 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆73Feb 22, 2022Updated 3 years ago
- Produce results of federated algorithms on various benchmarks☆16Oct 11, 2024Updated last year
- This is a collection of research papers for Federated Learning for Large Language Models (FedLLM). And the repository will be continuousl…☆104Jul 17, 2025Updated 7 months ago
- The Code for "Federated Recommender with Additive Personalization"☆40May 28, 2025Updated 8 months ago
- ☆46Aug 4, 2023Updated 2 years ago
- Federated Learning in CVPR2024☆19Jun 6, 2024Updated last year
- A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.☆821Oct 20, 2025Updated 3 months ago
- Implementation of Scaffold and Fedprox for Federated Learning using PyTorch☆24Jun 22, 2022Updated 3 years ago
- [ICLR 2025] Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization☆25Jan 27, 2026Updated 3 weeks ago
- FedGraph (Federated Graph) is a library built upon PyTorch to easily train Graph Neural Networks under federated setting.☆70Oct 9, 2025Updated 4 months ago
- Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)☆83Dec 10, 2021Updated 4 years ago
- ☆887Jul 27, 2024Updated last year
- ☆55Feb 23, 2024Updated last year
- Decentralized federated learning of deep neural networks on non-iid data☆45Jun 9, 2022Updated 3 years ago
- PyTorch Federated Learning (easy to use and extend)☆297Jan 4, 2024Updated 2 years ago
- The pytorch code of FedDISC (Federated Diffusion-Inspired Semi-supervised Co-training method)☆11Sep 3, 2023Updated 2 years ago
- This is the official implementation of the IJCAI 2024 paper "FedPFT: Federated Proxy Fine-Tuning of Foundation Models".☆26Apr 28, 2024Updated last year