Code Implementation and Informations about FedAS
☆34Feb 4, 2025Updated last year
Alternatives and similar repositories for FedAS
Users that are interested in FedAS are comparing it to the libraries listed below
Sorting:
- ☆15Dec 15, 2023Updated 2 years ago
- CVPR 2024 - Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity☆28May 28, 2024Updated last year
- CVPR 2024 accepted paper, An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in He…☆66Mar 12, 2025Updated 11 months ago
- ☆14May 31, 2025Updated 9 months ago
- ☆16Aug 25, 2021Updated 4 years ago
- The official implementation of "Federated Learning with Label-Masking Distillation"☆11Oct 28, 2023Updated 2 years ago
- The official implantation of SGPT (CVPR2024)☆17Jul 15, 2024Updated last year
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆63Dec 27, 2024Updated last year
- ICLR 2022, "FedBABU: Toward Enhanced Representation for Federated Image Classification"☆53Mar 21, 2022Updated 3 years ago
- TPAMI 2024 - Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark☆110Feb 15, 2026Updated 2 weeks ago
- Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]☆61Sep 15, 2022Updated 3 years ago
- FedGH: Heterogeneous Federated Learning with Generalized Global Header (MM'23)☆16Aug 6, 2023Updated 2 years ago
- ☆16Feb 28, 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
- Research code that accompanies the paper FedCL: Federated Multi-Phase Curriculum Learning to Synchronously Correlate User Heterogeneity.☆21Aug 30, 2023Updated 2 years ago
- This is an official implementation for the ICLR2023 paper "The Best of Both Worlds: Accurate Global and Personalized Models through Feder…☆22Mar 4, 2025Updated last year
- [MICCAI'22] Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance☆19Aug 18, 2022Updated 3 years ago
- This is the official implementation of the IJCAI 2024 paper "FedPFT: Federated Proxy Fine-Tuning of Foundation Models".☆26Apr 28, 2024Updated last year
- ICCV 2023 accepted paper, GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning☆26Nov 11, 2024Updated last year
- Similarity Guided Model Aggregation for Federated Learning☆26Mar 22, 2022Updated 3 years ago
- [CVPR 2024] Official Repository for "FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning"☆34Nov 4, 2024Updated last year
- CVPR2023 - Rethinking Federated Learning with Domain Shift: A Prototype View☆115Dec 29, 2024Updated last year
- The is the official implementation of ICCV 2023 paper "No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Syn…☆28Oct 27, 2023Updated 2 years ago
- Code for CVPR2023 DaFKD : Domain-aware Federated Knowledge Distillation☆29May 22, 2023Updated 2 years ago
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆224Nov 29, 2025Updated 3 months ago
- [CVPR2024] FedHCA^2: Towards Hetero-Client Federated Multi-Task Learning☆34Feb 18, 2025Updated last year
- KDD 2023 accepted paper, FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy☆33Dec 17, 2024Updated last year
- ☆35Feb 10, 2023Updated 3 years ago
- This is the official code of the paper: Facial Micro-motion-aware Mixup for Micro-expression Recognition☆13Apr 7, 2024Updated last year
- ☆34Nov 8, 2023Updated 2 years ago
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆97Apr 24, 2023Updated 2 years ago
- Track Federated Learning Papers☆38Updated this week
- (ICML 2025) Hybrid Batch Normalisation: Resolving the Dilemma of Batch Normalisation in Federated Learning☆10Jun 19, 2025Updated 8 months ago
- [ICDCS 2023] Evaluation and Optimization of Gradient Compression for Distributed Deep Learning☆10Apr 28, 2023Updated 2 years ago
- ☆11Oct 28, 2021Updated 4 years ago
- ☆46Aug 4, 2023Updated 2 years ago
- ☆43Dec 8, 2021Updated 4 years ago
- FastTrack4LLM 是一个为大模型学习者准备的大模型学习与实践框架，帮助他们轻松掌握大模型的核心原理与训练流程，让每个人都能真正理解大模型的内部机制。本项目不仅完整复现了 LLaMA、Qwen、DeepSeek 等主流开源大模型架构，还覆盖了大模型的全生命周期：To…☆24Nov 6, 2025Updated 4 months ago
- Official Implementation of "Lurking in the shadows: Unveiling Stealthy Backdoor Attacks against Personalized Federated Learning"☆12Feb 10, 2025Updated last year