littleSunlxy / FedPU-torchLinks
Official PyTorch Implementation of Federated Learning with Positive and Unlabeled Data
☆10Updated 3 years ago
Alternatives and similar repositories for FedPU-torch
Users that are interested in FedPU-torch are comparing it to the libraries listed below
Sorting:
- ☆29Updated 3 years ago
- ☆19Updated last year
- Learning rate adaptation for differentially private stochastic gradient descent☆17Updated 4 years ago
- FedUL: Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients☆32Updated 2 years ago
- [ICML2022] ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training☆22Updated 2 years ago
- Benchmarking Semi-supervised Federated Learning☆52Updated 3 years ago
- Practical One-Shot Federated Learning for Cross-Silo Setting☆42Updated 4 years ago
- [KDD2021] Federated Adversarial Debiasing for Fair and Transferable Representations: Optimize an adversarial domain-adaptation objective …☆26Updated 2 years ago
- FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning☆39Updated 2 years ago
- Source code for the ICML 2022 paper: "Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering"☆58Updated 2 years ago
- [NeurIPS2022] Where to Pay Attention in Sparse Training for Feature Selection?☆12Updated 2 years ago
- A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.☆21Updated 3 years ago
- [ICML 2023] FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction☆27Updated last year
- ☆11Updated 3 years ago
- Federated Bilevel Optimization☆16Updated 3 years ago
- This repository is an official Tensorflow 2 implementation of Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint…☆79Updated 3 years ago
- [ICLR 2023] Test-time Robust Personalization for Federated Learning☆53Updated 2 years ago
- Implementation for NIPS2023: A Unified Solution for Privacy and Communication Efficiency in Vertical Federated Learning☆14Updated last year
- [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training☆41Updated 2 years ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆42Updated 2 years ago
- ☆20Updated 3 years ago
- Federated Learning with Partial Model Personalization☆43Updated 3 years ago
- ☆40Updated last year
- ☆20Updated 3 years ago
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆41Updated 2 years ago
- ☆16Updated last year
- [CVPRW 2023] "Many-Task Federated Learning: A New Problem Setting and A Simple Baseline" by Ruisi Cai, Xiaohan Chen, Shiwei Liu, Jayanth …☆13Updated 2 years ago
- Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank?☆14Updated 3 years ago
- Federated Conformal Prediction with Quantile-of-Quantiles (FedCP-QQ)☆11Updated 2 years ago
- [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach☆44Updated 2 years ago