FLAIR-Community / FlingLinks
☆49Updated last month
Alternatives and similar repositories for Fling
Users that are interested in Fling are comparing it to the libraries listed below
Sorting:
- This is the official implementation of the IJCAI 2024 paper "FedPFT: Federated Proxy Fine-Tuning of Foundation Models".☆26Updated last year
- [AAAI 2024] FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning☆64Updated last year
- CVPR 2024 accepted paper, An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in He…☆65Updated 9 months ago
- [ICLR 2023] Multimodal Federated Learning via Contrastive Representation Ensemble☆126Updated last year
- [ICLR 2024] "Robust Training of Federated Models with Extremely Label Deficiency"☆27Updated 7 months ago
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆46Updated 2 years ago
- The pytorch code of FedDISC (Federated Diffusion-Inspired Semi-supervised Co-training method)☆10Updated 2 years ago
- Federated Learning with New Knowledge -- explore to incorporate various new knowledge into existing FL systems and evolve these systems t…☆85Updated last year
- [CVPR2024] FedHCA^2: Towards Hetero-Client Federated Multi-Task Learning☆34Updated 10 months ago
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆219Updated last month
- ☆10Updated 2 years ago
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆95Updated 2 years ago
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆60Updated last year
- CVPR 2024 - Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity☆27Updated last year
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆145Updated last year
- [NeurIPS 2023] "FedFed: Feature Distillation against Data Heterogeneity in Federated Learning"☆23Updated 2 years ago
- (CVPR 2024) Communication-Efficient Federated Learning with Accelerated Client Gradient☆38Updated 4 months ago
- Code Implementation and Informations about FedAS☆33Updated 11 months ago
- TPAMI 2024 - Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark☆112Updated 5 months ago
- [ICML 2023] FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction☆27Updated last year
- CVPR2023 - Rethinking Federated Learning with Domain Shift: A Prototype View☆112Updated last year
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆170Updated 3 years ago
- TPAMI2023 & CVPR2022 - Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning & Learn From Others and B…☆109Updated 2 years ago
- The official implementation of paper "Overcoming Data and Model heterogeneities in Decentralized Federated Learning via Synthetic Anchors…☆14Updated last year
- ☆29Updated 2 years ago
- Global and Local Prompts Cooperation via Optimal Transport for Federated Learning☆51Updated last year
- Selective Aggregation for Low-Rank Adaptation in Federated Learning [ICLR 2025]☆53Updated 8 months ago
- Simplified Implementation of FedPAC☆60Updated 2 years ago
- [NeurIPS 2023] "FedFed: Feature Distillation against Data Heterogeneity in Federated Learning"☆118Updated 2 months ago
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆61Updated 2 years ago