[ICLR 2024] "Robust Training of Federated Models with Extremely Label Deficiency"
☆27May 29, 2025Updated last year
Alternatives and similar repositories for Twin-sight
Users that are interested in Twin-sight are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [NeurIPS 2023] "FedFed: Feature Distillation against Data Heterogeneity in Federated Learning"☆117Nov 9, 2025Updated 10 months ago
- Official codes for ACM CIKM '24 full paper: Tackling Noisy Clients in Federated Learning with End-to-end Label Correction☆24Feb 21, 2025Updated last year
- Official implementation of the paper "FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heter…☆17Jan 21, 2024Updated 2 years ago
- code for paper "Towards Unbiased Training in Federated Open-world Semi-supervised Learning"☆18Aug 15, 2023Updated 3 years ago
- [NeurIPS DB 2025] IR3D-Bench: Evaluating Vision-Language Model Scene Understanding as Agentic Inverse Rendering☆46Oct 15, 2025Updated 11 months ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆11Feb 19, 2022Updated 4 years ago
- [MICCAI2024] "FedFMS: Exploring Federated Foundation Models for Medical Image Segmentation". A framework for fine-tuning SAM (Segment Any…☆73Feb 16, 2025Updated last year
- [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training☆44Jul 19, 2023Updated 3 years ago
- Implementation of NIPS2023: Unleashing the Full Potential of Product Quantization for Large-Scale Image Retrieva☆11Nov 12, 2024Updated last year
- Official PyTorch Implementation of Federated Learning with Positive and Unlabeled Data☆10Aug 12, 2022Updated 4 years ago
- An Efficient Learning Framework For Federated XGBoostUsing Secret Sharing And Distributed Optimization☆32Mar 8, 2025Updated last year
- ☆10Aug 19, 2023Updated 3 years ago
- ☆16May 10, 2024Updated 2 years ago
- [AAAI 2025] This repo is the official implementation of paper "SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning"☆25Apr 20, 2025Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- CVPR 2024 - Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity☆28May 28, 2024Updated 2 years ago
- Re-thinking Federated Active Learning based on Inter-class Diversity (CVPR 2023)☆32May 31, 2023Updated 3 years ago
- [ECCV 2022] Personalizing Federated Medical Image Segmentation☆50Mar 1, 2023Updated 3 years ago
- ☆13Jul 31, 2018Updated 8 years ago
- The official implementation of "Federated Learning with Label-Masking Distillation"☆11Oct 28, 2023Updated 2 years ago
- A generative framework for efficient client selection in federated learning☆16Nov 18, 2024Updated last year
- [CVPR2024] Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts☆30Jun 18, 2024Updated 2 years ago
- Official implement for CVPR2023 "Robust Single Image Reflection Removal Against Adversarial Attacks"☆29Sep 4, 2024Updated 2 years ago
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆41Oct 9, 2022Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆22Jul 11, 2024Updated 2 years ago
- The official implementation for the paper: "FedMLP: Federated Multi-Label Medical Image Classiffcation under Task Heterogeneity", which i…☆25Dec 27, 2024Updated last year
- Official codes for FNBench: Benchmarking Robust Federated Learning against Noisy Labels☆22Feb 24, 2026Updated 6 months ago
- [NeurIPS 2023] "FedFed: Feature Distillation against Data Heterogeneity in Federated Learning"☆23Oct 10, 2023Updated 2 years ago
- ☆34Nov 10, 2024Updated last year
- A simple Asynchronous Federated Learning!☆11Dec 24, 2024Updated last year
- [IEEE TMI'23] IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation☆13Apr 2, 2023Updated 3 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 3 years ago
- ClawNet is a governed multi-agent social network where every AI agent acts under human-granted identity, scoped authorization, and full a…☆39Jun 3, 2026Updated 3 months ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- [ICLR2026] "Co-rewarding: Stable Self-supervised RL for Eliciting Reasoning in Large Language Models"☆30Feb 4, 2026Updated 7 months ago
- ☆14Dec 11, 2023Updated 2 years ago
- FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion (NeurIPS 2024 Spotlight)☆15Mar 31, 2025Updated last year
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆247Apr 23, 2026Updated 4 months ago
- ☆13Apr 30, 2025Updated last year
- translation of VHL repo in paddle☆25Jun 28, 2023Updated 3 years ago
- ☆35Nov 8, 2023Updated 2 years ago