Erosinho13 / FedDriveLinks
Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving
☆39Updated last year
Alternatives and similar repositories for FedDrive
Users that are interested in FedDrive are comparing it to the libraries listed below
Sorting:
- Federated Learning with New Knowledge -- explore to incorporate various new knowledge into existing FL systems and evolve these systems t…☆84Updated last year
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆91Updated 2 years ago
- ☆85Updated 3 months ago
- This is the formal code implementation of the CVPR 2022 paper 'Federated Class Incremental Learning'.☆117Updated 2 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆86Updated 3 years ago
- PyTorch implementation of: D. Shenaj, M. Toldo, A. Rigon and P. Zanuttigh, “Asynchronous Federated Continual Learning”, CVPR 2023 Worksho…☆38Updated 2 years ago
- ☆28Updated last year
- ☆115Updated 2 years ago
- (CVPR 2024) Communication-Efficient Federated Learning with Accelerated Client Gradient☆37Updated last month
- ☆33Updated 3 years ago
- Official Code for PACFL AAAI 2023☆43Updated 2 years ago
- CVPR 2022: FedCorr: Multi-Stage Federated Learning for Label Noise Correction☆37Updated last year
- FedMD: Heterogenous Federated Learning via Model Distillation☆18Updated 5 years ago
- Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]☆61Updated 3 years ago
- Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning☆37Updated 2 years ago
- ICLR 2022, "FedBABU: Toward Enhanced Representation for Federated Image Classification"☆50Updated 3 years ago
- Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks☆25Updated 2 years ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆89Updated 2 years ago
- Benchmarking Semi-supervised Federated Learning☆53Updated 3 years ago
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆45Updated 2 years ago
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆141Updated 11 months ago
- A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.☆21Updated 3 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆162Updated 3 years ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆42Updated 2 years ago
- Code for novel methods for one-shot Federated Learning under high statistical heterogeneity.☆18Updated 2 years ago
- ☆51Updated 9 months ago
- KDD 2023 accepted paper, FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy☆30Updated 9 months ago
- Model-Contrastive Federated Learning (CVPR 2021)☆290Updated 3 years ago
- The official PyTorch implementation for the paper: "FedNoRo: Towards Noise-Robust Federated Learning By Addressing Class Imbalance and La…☆27Updated last year
- The official implementation of "Federated Learning with Label-Masking Distillation"☆10Updated last year