MediaBrain-SJTU / FedDisco

Related projects: ⓘ

• rui-ye / FedLLM-Bench
  ☆56Updated last month
• MediaBrain-SJTU / pFedGraph
  ☆24Updated last year
• rui-ye / OpenFedLLM
  ☆304Updated 2 months ago
• wanglikuan / fedmd_pytorch
  ☆8Updated 3 years ago
• Yujun-Shi / FedCLS
  [ICLR2023] Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (https://arxiv.org/abs/2210.0022…
  ☆40Updated last year
• LINs-lab / FedTHE
  [ICLR 2023] Test-time Robust Personalization for Federated Learning
  ☆51Updated last year
• ZFancy / SFAT
  [ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"
  ☆28Updated last year
• rruisong / FedD3
  FedD3: Federated Learning via Decentralized Dataset Distillation
  ☆20Updated last year
• FLAIR-THU / CreamFL
  [ICLR 2023] Multimodal Federated Learning via Contrastive Representation Ensemble
  ☆83Updated last year
• PEILab-Federated-Learning / PromptFL
  PromptFL: Let Federated Participants Cooperatively Learn Prompts Instead of Models — Federated Learning in Age of Foundation Model
  ☆26Updated last year
• zj-jayzhang / Federated_Generative_Learning
  ☆24Updated this week
• MingzhaoYang / FedDISC
  The pytorch code of FedDISC (Federated Diffusion-Inspired Semi-supervised Co-training method)
  ☆3Updated last year
• TsingZ0 / FedCP
  KDD 2023 accepted paper, FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy
  ☆23Updated 4 months ago
• HaokunChen245 / FedDAT
  [AAAI 2024] FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning
  ☆27Updated 7 months ago
• abbottyanginchina / Awesome-Federated-Unlearning
  Awesome Federated Unlearning (FU) Papers (Continually Update)
  ☆72Updated 4 months ago
• TsingZ0 / FedKTL
  CVPR 2024 accepted paper, An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in He…
  ☆32Updated last week
• TsingZ0 / HtFLlib
  Configure one file for model heterogeneity. Consistent GPU memory usage for single or multiple clients.
  ☆93Updated this week
• longtanle / awesome-federated-LLM-learning
  This is a collection of research papers for Federated Learning for Large Language Models (FedLLM). And the repository will be continuousl…
  ☆54Updated 2 months ago
• HarukiYqM / All-In-One-Neural-Composition
  PyTorch code for our paper "Resource-Adaptive Federated Learning with All-In-One Neural Composition" (NeurIPS2022)
  ☆15Updated last year
• FangXiuwen / Robust_FL
  ☆39Updated last year
• TsingZ0 / GPFL
  ICCV 2023 accepted paper, GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning
  ☆16Updated last week
• yxdyc / pFedGate
  ☆23Updated last year
• ZexiLee / ICML-2023-FedLAW
  The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".
  ☆47Updated last year
• diaoenmao / SemiFL-Semi-Supervised-Federated-Learning-for-Unlabeled-Clients-with-Alternate-Training
  [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training
  ☆33Updated last year
• geehokim / FedACG
  (CVPR 2024) Communication-Efficient Federated Learning with Accelerated Client Gradient
  ☆19Updated 3 months ago
• lishenghui / awesome-fm-fl
  ✨✨A curated list of latest advances on Foundation Models with Federated Learning
  ☆33Updated last week
• melodi-lab / divfl
  Diverse Client Selection for Federated Learning via Submodular Maximization
  ☆27Updated 2 years ago
• shentt67 / VFL_Survey
  Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey, by MARS Group at Wuhan University.
  ☆11Updated 3 months ago
• WenkeHuang / RethinkFL
  CVPR2023 - Rethinking Federated Learning with Domain Shift: A Prototype View
  ☆82Updated last year
• ZhangLin-PKU / FedFTG
  ☆35Updated 6 months ago