[NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach
☆43Apr 25, 2023Updated 2 years ago
Alternatives and similar repositories for FedPCL
Users that are interested in FedPCL are comparing it to the libraries listed below
Sorting:
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆175May 26, 2022Updated 3 years ago
- A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.☆24May 18, 2022Updated 3 years ago
- FedGH: Heterogeneous Federated Learning with Generalized Global Header (MM'23)☆16Aug 6, 2023Updated 2 years ago
- CVPR2023 - Rethinking Federated Learning with Domain Shift: A Prototype View☆115Dec 29, 2024Updated last year
- This is the formal code implementation of the CVPR 2022 paper 'Federated Class Incremental Learning'.☆118Aug 7, 2023Updated 2 years ago
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆46Feb 16, 2023Updated 3 years ago
- [AAAI'23] Federated Learning on Non-IID Graphs via Structural Knowledge Sharing☆69Nov 24, 2022Updated 3 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
- paper code commit-fsmafl☆10Mar 18, 2024Updated last year
- Simplified Implementation of FedPAC☆61Nov 30, 2023Updated 2 years ago
- (CVPR 2024) Official Implementation of "FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning"☆15Jun 28, 2024Updated last year
- ☆16Aug 25, 2021Updated 4 years ago
- [ICLR2023] Official Implementation of Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (http…☆70Feb 27, 2023Updated 3 years ago
- Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks☆26Nov 13, 2022Updated 3 years ago
- ☆12Jan 16, 2024Updated 2 years ago
- This is the code for "TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation" (ICCV 2023)☆52Apr 30, 2024Updated last year
- Official code for "Federated Learning under Heterogeneous and Correlated Client Availability" (INFOCOM'23)☆29Jan 7, 2023Updated 3 years ago
- Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]☆61Sep 15, 2022Updated 3 years ago
- code for paper "Towards Unbiased Training in Federated Open-world Semi-supervised Learning"☆17Aug 15, 2023Updated 2 years ago
- ICLR 2023 - FedFA: Federated Feature Augmentation☆59Mar 28, 2023Updated 2 years ago
- Code for ICLR 2023 Paper Better Generative Replay for Continual Federated Learning☆33Apr 23, 2023Updated 2 years ago
- PyTorch implementation of: D. Shenaj, M. Toldo, A. Rigon and P. Zanuttigh, “Asynchronous Federated Continual Learning”, CVPR 2023 Worksho…☆43Jul 15, 2023Updated 2 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆158Apr 30, 2022Updated 3 years ago
- [ICLR2023] Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (https://arxiv.org/abs/2210.0022…☆40Jan 30, 2023Updated 3 years ago
- ☆18Jan 16, 2024Updated 2 years ago
- Federated Learning with New Knowledge -- explore to incorporate various new knowledge into existing FL systems and evolve these systems t…☆86Feb 7, 2024Updated 2 years ago
- Practical Vertical Federated Learning with Unsupervised Representation Learning (TBD 2022)☆22Feb 21, 2022Updated 4 years ago
- This is an official Tensorflow-2 implementation of Federated Continual Learning with Inter-Client Weighted Transfer☆116Jun 2, 2021Updated 4 years ago
- fully ready experiments☆38Jul 18, 2022Updated 3 years ago
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆224Nov 29, 2025Updated 3 months ago
- ☆18Oct 12, 2023Updated 2 years ago
- ☆17Aug 5, 2024Updated last year
- Source code for "FedSoft: Soft Clustered Federated Learning with Proximal Local Updating"☆20Apr 28, 2022Updated 3 years ago
- ☆26Oct 17, 2024Updated last year
- Apprentices in Federated Learning from ECNU <3☆25Mar 10, 2022Updated 3 years ago
- [ICML2022] ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training☆23Oct 17, 2022Updated 3 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
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆88Mar 22, 2022Updated 3 years ago
- This is the repository for the work "An ensemble mechanism to tackle the heterogeneity in asynchronous federated learning"☆11Nov 19, 2021Updated 4 years ago