A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.
☆24May 18, 2022Updated 4 years ago
Alternatives and similar repositories for fedcon-pytorch
Users that are interested in fedcon-pytorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This repository is an official Tensorflow 2 implementation of Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint…☆81Apr 25, 2022Updated 4 years ago
- [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach☆44Apr 25, 2023Updated 3 years ago
- Benchmarking Semi-supervised Federated Learning☆54Aug 14, 2022Updated 4 years ago
- [ICML2022] ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training☆23Oct 17, 2022Updated 3 years ago
- ☆28Jun 3, 2022Updated 4 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- [ICLR2023] Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (https://arxiv.org/abs/2210.0022…☆40Jan 30, 2023Updated 3 years ago
- CVPR 2022: RSCFed: Random Sampling Consensus Federated Semi-supervised Learning☆49Jul 7, 2022Updated 4 years ago
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆41Oct 9, 2022Updated 4 years ago
- Self-supervised federated learning for medical imaging - IEEE TMI☆80May 27, 2024Updated 2 years ago
- Towards model-agnostic federated learning using knowledge distillation, ICLR 2022☆10Mar 12, 2022Updated 4 years ago
- [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training☆44Jul 19, 2023Updated 3 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆73Dec 9, 2024Updated last year
- CVPR2023 - Rethinking Federated Learning with Domain Shift: A Prototype View☆118Dec 29, 2024Updated last year
- Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]☆61Sep 15, 2022Updated 4 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.
- Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks☆26Nov 13, 2022Updated 3 years ago
- This is the formal code implementation of the CVPR 2022 paper 'Federated Class Incremental Learning'.☆125Aug 7, 2023Updated 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
- FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning☆18Jun 2, 2022Updated 4 years ago
- Code for ijcai-24 paper "Federated Adaptation for Foundation Model-based Recommendations"☆11Apr 18, 2025Updated last year
- ☆33Dec 9, 2021Updated 4 years ago
- A summay of existing works on vertical federated/split learning☆15Nov 28, 2021Updated 4 years ago
- A notebook of awesome privacy protection,federated learning, fairness and blockchain research materials.☆32May 19, 2022Updated 4 years ago
- ifedtree: tree-based federated learning for heterogeneous model harmonization (ICML 2022)☆14Mar 23, 2023Updated 3 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- [ICLR 2023] Test-time Robust Personalization for Federated Learning☆58Aug 15, 2023Updated 3 years ago
- [ACM SoCC'22] Pisces: Efficient Federated Learning via Guided Asynchronous Training☆13Apr 28, 2025Updated last year
- The pytorch code of FedDISC (Federated Diffusion-Inspired Semi-supervised Co-training method)☆12Sep 3, 2023Updated 3 years ago
- ☆17Aug 5, 2024Updated 2 years ago
- ICLR 2023 - FedFA: Federated Feature Augmentation☆60Mar 28, 2023Updated 3 years ago
- A pip library for calculating the Shapley Value for computing the marginal contribution of each client in a Federated Learning environmen…☆28Dec 10, 2023Updated 2 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆34Apr 29, 2021Updated 5 years ago
- The official implementation of paper "Overcoming Data and Model heterogeneities in Decentralized Federated Learning via Synthetic Anchors…☆16Jun 14, 2024Updated 2 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆164Apr 30, 2022Updated 4 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Practical Vertical Federated Learning with Unsupervised Representation Learning (TBD 2022)☆21Feb 21, 2022Updated 4 years ago
- Official implementation for paper "No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation", I…☆17Jul 26, 2023Updated 3 years ago
- Code for ijcai-23 paper "Dual Personalization on Federated Recommendation"☆31Jul 28, 2024Updated 2 years ago
- Official repo for the paper: Recovering Private Text in Federated Learning of Language Models (in NeurIPS 2022)☆59Mar 13, 2023Updated 3 years ago
- [AAAI'22] HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images☆91Jul 19, 2022Updated 4 years ago
- The official implement of paper "Does Federated Learning Really Need Backpropagation?"☆24Feb 9, 2023Updated 3 years ago
- Federated Fairness-aware Recommendation☆14Sep 2, 2022Updated 4 years ago