☆14May 5, 2022Updated 3 years ago
Alternatives and similar repositories for Federated-Continual-Learning
Users that are interested in Federated-Continual-Learning are comparing it to the libraries listed below
Sorting:
- This is the code for "TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation" (ICCV 2023)☆52Apr 30, 2024Updated last year
- Code for ICLR 2023 Paper Better Generative Replay for Continual Federated Learning☆33Apr 23, 2023Updated 2 years ago
- ☆16Sep 30, 2024Updated last year
- ☆23Apr 30, 2022Updated 3 years ago
- ☆24Sep 2, 2023Updated 2 years ago
- Multi-metrics adaptively identifies backdoors in Federated learning☆37Aug 7, 2025Updated 7 months ago
- Federated Learning Algorithm (Pytorch) : FedAvg, FedProx, MOON, SCAFFOLD, FedDyn☆27Nov 6, 2024Updated last year
- Code for CVPR2023 DaFKD : Domain-aware Federated Knowledge Distillation☆29May 22, 2023Updated 2 years ago
- ☆14May 31, 2025Updated 9 months ago
- Official PyTorch Implementation of Federated Learning with Positive and Unlabeled Data☆10Aug 12, 2022Updated 3 years ago
- ☆10Dec 3, 2023Updated 2 years ago
- paper code commit-fsmafl☆10Mar 18, 2024Updated last year
- Liquid glass effects.☆16Jul 12, 2025Updated 7 months ago
- The code repository for "Multi-layer Rehearsal Feature Augmentation for Class-Incremental Learning" (ICML24)☆11Jun 7, 2024Updated last year
- Traffic Scheduling for Time Sensitive Networks☆10Sep 5, 2024Updated last year
- ESP32 BLE - UART☆10May 6, 2020Updated 5 years ago
- Code for publication on FL incentive mechanism design☆11Sep 12, 2024Updated last year
- The official implementation of paper "Overcoming Data and Model heterogeneities in Decentralized Federated Learning via Synthetic Anchors…☆14Jun 14, 2024Updated last year
- ☆12Feb 20, 2024Updated 2 years ago
- [ICLR'24] Heterogeneous Personalized Federated Learning by Local-Global Updates Mixing via Convergence Rate☆13Jun 17, 2025Updated 8 months ago
- ☆16Aug 25, 2021Updated 4 years ago
- ☆13Jan 12, 2024Updated 2 years ago
- (CVPR 2024) Official Implementation of "FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning"☆15Jun 28, 2024Updated last year
- Official Implementation of Data Unlearning in Diffusion Models (ICLR 2025)☆14May 20, 2025Updated 9 months ago
- [NeurIPS 2023]Federated Learning with Bilateral Curation for Partially Class-Disjoint Data☆14Aug 1, 2025Updated 7 months ago
- Code to reproduce the experiments of the ICLR24-paper: "Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging"☆12Oct 14, 2025Updated 4 months ago
- ☆55Feb 23, 2024Updated 2 years ago
- Codes for the paper FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning☆48Feb 11, 2023Updated 3 years ago
- TPAMI2023 & CVPR2022 - Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning & Learn From Others and B…☆110Oct 24, 2023Updated 2 years ago
- Variational Adversarial Deep Domain Adaptation implementation (TensorFlow 1.x)☆12Jan 14, 2019Updated 7 years ago
- ☆13Jun 1, 2024Updated last year
- ☆13Jan 16, 2024Updated 2 years ago
- Gaussian Membership Inference Privacy (NeurIPS 2023)☆12Jul 27, 2024Updated last year
- This is the formal code implementation of the CVPR 2022 paper 'Federated Class Incremental Learning'.☆118Aug 7, 2023Updated 2 years ago
- The official code for ICDM2023 paper: ' FedDIP: Federated Learning with Extreme Dynamic Pruning and Incremental Regularization'☆14Aug 16, 2024Updated last year
- [CVPR-2024] Text-Enhanced Data-free Approach for Federated Class-Incremental Learning☆18Dec 26, 2024Updated last year
- Knowledge Amalgamation, Multi-teacher KD, Ensemble KD☆12Sep 21, 2021Updated 4 years ago
- ☆17Jan 14, 2025Updated last year
- Differentially Private Federated Learning: A Client Level Perspective☆12Jul 3, 2019Updated 6 years ago