VITA-Group / MaT-FLView external linksLinks
[CVPRW 2023] "Many-Task Federated Learning: A New Problem Setting and A Simple Baseline" by Ruisi Cai, Xiaohan Chen, Shiwei Liu, Jayanth Srinivasa, Myungjin Lee, Ramana Kompella, Zhangyang Wang
☆13Aug 28, 2023Updated 2 years ago
Alternatives and similar repositories for MaT-FL
Users that are interested in MaT-FL are comparing it to the libraries listed below
Sorting:
- [CVPR2024] FedHCA^2: Towards Hetero-Client Federated Multi-Task Learning☆34Feb 18, 2025Updated 11 months ago
- ☆17Feb 14, 2021Updated 5 years ago
- ☆17Aug 5, 2024Updated last year
- ☆10Mar 21, 2024Updated last year
- FL_PyTorch: Optimization Research Simulator for Federated Learning☆35Jul 7, 2023Updated 2 years ago
- Practical One-Shot Federated Learning for Cross-Silo Setting☆41May 21, 2021Updated 4 years ago
- Federated principal component analysis (FPCA) is my master thesis, which aims to adapt PCA in a federated learning setting. The technique…☆11Apr 5, 2024Updated last year
- Federated Conformal Prediction with Quantile-of-Quantiles (FedCP-QQ)☆11Aug 16, 2023Updated 2 years ago
- Code for the paper "Pretrained Models for Multilingual Federated Learning" at NAACL 2022☆11Aug 9, 2022Updated 3 years ago
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆96Apr 24, 2023Updated 2 years ago
- KDD 2023 accepted paper, FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy☆32Dec 17, 2024Updated last year
- Official codes for ACM CIKM '24 full paper: Tackling Noisy Clients in Federated Learning with End-to-end Label Correction☆21Feb 21, 2025Updated 11 months ago
- Towards Addressing Label Skews in One-Shot Federated Learning (ICLR 2023)☆17Nov 2, 2023Updated 2 years ago
- Federated Few-shot Learning for Mobile NLP. Conditionally accepted by MobiCom'23.☆16Aug 18, 2023Updated 2 years ago
- code for paper "Towards Unbiased Training in Federated Open-world Semi-supervised Learning"☆17Aug 15, 2023Updated 2 years ago
- Federated Learning with Partial Model Personalization☆42Jul 9, 2022Updated 3 years ago
- Federated Block Coordinate Descent (FedBCD) code for "Federated Block Coordinate Descent Scheme for Learning Global and Personalized Mode…☆16Dec 27, 2020Updated 5 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
- ☆19May 20, 2024Updated last year
- ☆117Feb 27, 2023Updated 2 years ago
- Global and Local Prompts Cooperation via Optimal Transport for Federated Learning☆51Apr 3, 2024Updated last year
- ☆19Mar 13, 2024Updated last year
- A scalable, portable, and lightweight Federated Learning framework.☆31Apr 21, 2025Updated 9 months ago
- Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks☆26Nov 13, 2022Updated 3 years ago
- [ICLR 2023] Test-time Robust Personalization for Federated Learning☆55Aug 15, 2023Updated 2 years ago
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆62Aug 28, 2023Updated 2 years ago
- A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.☆24May 18, 2022Updated 3 years ago
- Repo to reproduce results for Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning☆25Apr 14, 2023Updated 2 years ago
- The official implement of paper "Does Federated Learning Really Need Backpropagation?"☆23Feb 9, 2023Updated 3 years ago
- [AAAI'23] Federated Robustness Propagation: Sharing Robustness in Heterogeneous Federated Learning☆27Feb 23, 2023Updated 2 years ago
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆167Dec 26, 2024Updated last year
- Benchmark for federated noisy label learning☆25Aug 31, 2024Updated last year
- ☆29May 26, 2023Updated 2 years ago
- The official PyTorch implementation for the paper: "FedNoRo: Towards Noise-Robust Federated Learning By Addressing Class Imbalance and La…☆27Mar 16, 2024Updated last year
- Source code for IJCKG 2021 paper "FedE: Embedding Knowledge Graphs in Federated Setting"☆25Apr 15, 2022Updated 3 years ago
- ☆11Jan 2, 2026Updated last month
- A very good course about finetune llm for beginners【大模型微调】☆28Aug 21, 2025Updated 5 months ago
- PyTorch implementation of: D. Shenaj, M. Toldo, A. Rigon and P. Zanuttigh, “Asynchronous Federated Continual Learning”, CVPR 2023 Worksho…☆42Jul 15, 2023Updated 2 years ago
- An Efficient Learning Framework For Federated XGBoostUsing Secret Sharing And Distributed Optimization☆32Mar 8, 2025Updated 11 months ago