zj-jayzhang / Federated-Class-Continual-LearningView external linksLinks
This is the code for "TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation" (ICCV 2023)
☆52Apr 30, 2024Updated last year
Alternatives and similar repositories for Federated-Class-Continual-Learning
Users that are interested in Federated-Class-Continual-Learning are comparing it to the libraries listed below
Sorting:
- Code for ICLR 2023 Paper Better Generative Replay for Continual Federated Learning☆33Apr 23, 2023Updated 2 years ago
- ☆14May 5, 2022Updated 3 years ago
- ☆23Apr 30, 2022Updated 3 years ago
- This is the formal code implementation of the CVPR 2022 paper 'Federated Class Incremental Learning'.☆118Aug 7, 2023Updated 2 years ago
- [TPAMI 2023] No One Left Behind: Real-World Federated Class-Incremental Learning☆32Nov 30, 2023Updated 2 years ago
- ☆21Apr 27, 2024Updated last year
- [CVPR-2024] Text-Enhanced Data-free Approach for Federated Class-Incremental Learning☆18Dec 26, 2024Updated last year
- Communication-efficient federated continual learning☆20Jan 3, 2023Updated 3 years ago
- This is the formal code implementation of the CVPR 2024 paper 'Traceable Federated Continual Learning'.☆18May 31, 2024Updated last year
- ☆19Jun 17, 2024Updated last year
- (CVPR 2024) Official Implementation of "FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning"☆15Jun 28, 2024Updated last year
- ☆26Oct 17, 2024Updated last year
- ☆12Jan 16, 2024Updated 2 years ago
- This is an official Tensorflow-2 implementation of Federated Continual Learning with Inter-Client Weighted Transfer☆116Jun 2, 2021Updated 4 years ago
- [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach☆43Apr 25, 2023Updated 2 years ago
- Benchmark for Hetergeneous Federated Learning by MARS Group at the Wuhan University, led by Prof. Mang Ye.☆19May 29, 2023Updated 2 years ago
- [ECCV2024] PyTorch implementation of "PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental Learning"☆24Sep 25, 2024Updated last year
- TPAMI2023 & CVPR2022 - Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning & Learn From Others and B…☆109Oct 24, 2023Updated 2 years ago
- Official PyTorch implementation of DENSE (NeurIPS 2022)☆35Dec 11, 2022Updated 3 years ago
- An Efficient Dataset Condensation Plugin and Its Application to Continual Learning. NeurIPS, 2023.☆12Nov 29, 2023Updated 2 years ago
- FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion (NeurIPS 2024 Spotlight)☆14Mar 31, 2025Updated 10 months ago
- [NeurIPS 2023]Federated Learning with Bilateral Curation for Partially Class-Disjoint Data☆14Aug 1, 2025Updated 6 months ago
- ☆13Jan 12, 2024Updated 2 years ago
- The is the official implementation of ICCV 2023 paper "No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Syn…☆27Oct 27, 2023Updated 2 years ago
- CVPR2023 - Rethinking Federated Learning with Domain Shift: A Prototype View☆115Dec 29, 2024Updated last year
- [ICCV-2023] Heterogeneous Forgetting Compensation for Class-Incremental Learning☆12Dec 4, 2023Updated 2 years ago
- Continual Evidential Deep Learning ICCVW 2023☆14Nov 3, 2023Updated 2 years ago
- Code for CVPR2023 DaFKD : Domain-aware Federated Knowledge Distillation☆29May 22, 2023Updated 2 years 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
- ☆16Sep 30, 2024Updated last year
- ☆17Feb 17, 2024Updated last year
- GradMA: A Gradient-Memory-based Accelerated Federated Learning with Alleviated Catastrophic Forgetting☆15Mar 12, 2023Updated 2 years ago
- [NeurIPS 2023] "FedFed: Feature Distillation against Data Heterogeneity in Federated Learning"☆118Nov 9, 2025Updated 3 months ago
- The code implementation of the <Achieving a Better Stability-Plasticity Trade-off via Auxiliary Networks in Continual Learning> in The Co…☆14May 25, 2023Updated 2 years ago
- FedGH: Heterogeneous Federated Learning with Generalized Global Header (MM'23)☆16Aug 6, 2023Updated 2 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
- Federated Learning in CVPR2024☆19Jun 6, 2024Updated last year
- The open-souce code of FedFA: Federated Learning with Feature Anchors to Align Features and Classifiers for Heterogeneous Data, accepted …☆19Oct 21, 2023Updated 2 years ago
- SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model @ ICCV 2023 **AND** SLCA++: Unleash the Power …☆53Aug 17, 2024Updated last year