conditionWang / FLNKLinks
Federated Learning with New Knowledge -- explore to incorporate various new knowledge into existing FL systems and evolve these systems to reduce costs, extend their lifespan, and facilitate sustainable development.
☆84Updated last year
Alternatives and similar repositories for FLNK
Users that are interested in FLNK are comparing it to the libraries listed below
Sorting:
- This is the formal code implementation of the CVPR 2022 paper 'Federated Class Incremental Learning'.☆117Updated 2 years ago
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆44Updated 2 years ago
- Simplified Implementation of FedPAC☆60Updated last year
- [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training☆41Updated 2 years ago
- Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]☆61Updated 2 years ago
- [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach☆44Updated 2 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆85Updated 3 years ago
- This is an official Tensorflow-2 implementation of Federated Continual Learning with Inter-Client Weighted Transfer☆110Updated 4 years ago
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆54Updated 7 months ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆87Updated 2 years ago
- ☆52Updated 3 years ago
- ☆33Updated 3 years ago
- Papers related to federated learning in top conferences (2020-2024).☆69Updated 10 months ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆158Updated 3 years ago
- [ICLR 2023] Test-time Robust Personalization for Federated Learning☆53Updated 2 years ago
- [ICLR2023] Official Implementation of Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (http…☆68Updated 2 years ago
- CVPR 2022: FedCorr: Multi-Stage Federated Learning for Label Noise Correction☆35Updated last year
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆91Updated 2 years ago
- ICLR 2022, "FedBABU: Toward Enhanced Representation for Federated Image Classification"☆50Updated 3 years ago
- Code for ICLR 2023 Paper Better Generative Replay for Continual Federated Learning☆30Updated 2 years ago
- Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks☆25Updated 2 years ago
- CVPR2023 - Rethinking Federated Learning with Domain Shift: A Prototype View☆107Updated 7 months ago
- CVPR 2024 accepted paper, An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in He…☆62Updated 5 months ago
- ☆51Updated 7 months ago
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆58Updated last year
- Diverse Client Selection for Federated Learning via Submodular Maximization☆32Updated 3 years ago
- ☆161Updated 2 years ago
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆138Updated 9 months ago
- Source code for the ICML 2022 paper: "Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering"☆58Updated 2 years ago
- The is the official implementation of ICCV 2023 paper "No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Syn…☆25Updated last year