Alternatives and similar repositories for FLHetBench:

Users that are interested in FLHetBench are comparing it to the libraries listed below

• HaokunChen245 / FedDAT
  [AAAI 2024] FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning
  ☆50Updated last year
• HongxiaLee / FedOTP
  Global and Local Prompts Cooperation via Optimal Transport for Federated Learning
  ☆35Updated 11 months ago
• ZackZikaiXiao / FedGraB
  ☆16Updated last year
• lsl001006 / FedIOD
  (AAAI-24) Federated Learning via Input-Output Collaborative Distillation
  ☆12Updated last year
• leondada / FedAPT
  ☆14Updated last year
• Yutong-Dai / FedNH
  Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.
  ☆42Updated 2 years ago
• ubc-tea / SGPT
  The official implantation of SGPT (CVPR2024)
  ☆13Updated 8 months ago
• MingzhaoYang / FedDISC
  The pytorch code of FedDISC (Federated Diffusion-Inspired Semi-supervised Co-training method)
  ☆6Updated last year
• tmlr-group / FedFed
  [NeurIPS 2023] "FedFed: Feature Distillation against Data Heterogeneity in Federated Learning"
  ☆18Updated last year
• inouye-lab / FedDG_Benchmark
  This is the repo for paper
  ☆21Updated 11 months ago
• sjtudyq / FedConcat
  Exploiting Label Skew in Federated Learning with Model Concatenation (AAAI 2024)
  ☆14Updated last year
• yuhangchen0 / Federated-Learning-in-CVPR2024
  Federated Learning in CVPR2024
  ☆16Updated 9 months ago
• JianXu95 / FedPAC
  Simplified Implementation of FedPAC
  ☆52Updated last year
• PEILab-Federated-Learning / PromptFL
  PromptFL: Let Federated Participants Cooperatively Learn Prompts Instead of Models — Federated Learning in Age of Foundation Model
  ☆33Updated last year
• P0werWeirdo / TagFCL
  This is the formal code implementation of the CVPR 2024 paper 'Traceable Federated Continual Learning'.
  ☆15Updated 9 months ago
• TsingZ0 / FedTGP
  AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…
  ☆47Updated 2 months ago
• xiyuanyang45 / FedAS
  Code Implementation and Informations about FedAS
  ☆21Updated last month
• cugzj / FedoSSL
  code for paper "Towards Unbiased Training in Federated Open-world Semi-supervised Learning"
  ☆16Updated last year
• AC-Amiya233 / FedRep
  ☆11Updated 3 years ago
• yuetan031 / FedPCL
  [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach
  ☆42Updated last year
• SaraBabakN / MFCL-NeurIPS23
  ☆19Updated 10 months ago
• MMorafah / FL-SC-NIID
  Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks
  ☆24Updated 2 years ago
• haozzh / FedCR
  ☆20Updated last year
• lianziqt / CFeD
  ☆21Updated 2 years ago
• wnn2000 / FedNoRo
  The official PyTorch implementation for the paper: "FedNoRo: Towards Noise-Robust Federated Learning By Addressing Class Imbalance and La…
  ☆25Updated last year
• ZexiLee / ICML-2023-FedLAW
  The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".
  ☆55Updated last year
• atuannguyen / FedSR
  ☆28Updated 2 years ago
• 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
  ☆37Updated last year
• MediaBrain-SJTU / FedGELA
  [NeurIPS 2023]Federated Learning with Bilateral Curation for Partially Class-Disjoint Data
  ☆12Updated 9 months ago
• yuhangchen0 / FedHEAL
  CVPR 2024 - Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity
  ☆16Updated 9 months ago