RickZack / FedSeq
Official PyTorch implementation of "Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients", accepted at ICPR 2022
☆16Updated 3 years ago
Alternatives and similar repositories for FedSeq:
Users that are interested in FedSeq are comparing it to the libraries listed below
- Official implementation of https://arxiv.org/abs/2106.03496☆15Updated 2 years ago
- Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning☆34Updated 2 years ago
- ☆16Updated 3 weeks ago
- ☆19Updated 2 years ago
- ☆82Updated 2 years ago
- Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving☆39Updated last year
- ☆11Updated 3 years ago
- ☆15Updated last year
- ICLR 2022, "FedBABU: Toward Enhanced Representation for Federated Image Classification"☆51Updated 3 years ago
- ☆19Updated 11 months ago
- Focoos SDK☆88Updated this week
- Official repository for Towards Multi-modal Transformers in Federated Learning (ECCV2024)☆14Updated 2 months ago
- Official Code for Pixel-by-Pixel Cross-Domain Alignment for Few-Shot Semantic Segmentation. Here the paper: https://arxiv.org/abs/2110.11…☆24Updated 3 years ago
- Code Implementation and Informations about FedAS☆22Updated 2 months ago
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆44Updated 2 years ago
- The official implementation of "Federated Learning with Label-Masking Distillation"☆10Updated last year
- (CVPR 2024) Official Implementation of "FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning"☆12Updated 9 months ago
- Official implementation of paper "Semantic Novelty Detection via Relational Reasoning"☆15Updated last year
- ☆12Updated last year
- On the Challenges of Open World Recognition under Shifting Visual Domains☆11Updated 3 years ago
- This is the formal code implementation of the CVPR 2022 paper 'Federated Class Incremental Learning'.☆110Updated last year
- code for paper "Towards Unbiased Training in Federated Open-world Semi-supervised Learning"☆16Updated last year
- Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks☆24Updated 2 years ago
- Code for the paper "Knowledge-Aware Federated Active Learning with Non-IID Data", ICCV2023☆11Updated last year
- Official Code for PACFL AAAI 2023☆43Updated last year
- Code for novel methods for one-shot Federated Learning under high statistical heterogeneity.☆17Updated last year
- The pytorch code of FedDISC (Federated Diffusion-Inspired Semi-supervised Co-training method)☆7Updated last year
- ☆9Updated last year
- Code for BiseNetV1☆14Updated 3 years ago
- [AAAI 2024] FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning☆53Updated last year