Alternatives and similar repositories for fedl2p:

Users that are interested in fedl2p are comparing it to the libraries listed below

• jhoon-oh / FedBABU
  ICLR 2022, "FedBABU: Toward Enhanced Representation for Federated Image Classification"
  ☆50Updated 2 years ago
• LINs-lab / FedTHE
  [ICLR 2023] Test-time Robust Personalization for Federated Learning
  ☆54Updated last year
• mmendiet / FedAlign
  Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]
  ☆59Updated 2 years ago
• LINs-lab / FedBR
  [ICML 2023] FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction
  ☆25Updated 10 months ago
• zewei-long / fedcon-pytorch
  A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.
  ☆19Updated 2 years ago
• Yutong-Dai / FedNH
  Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.
  ☆38Updated last year
• hukla / FedClassAvg
  ☆18Updated 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
  ☆36Updated last year
• illidanlab / FADE
  [KDD2021] Federated Adversarial Debiasing for Fair and Transferable Representations: Optimize an adversarial domain-adaptation objective …
  ☆26Updated last year
• MMorafah / FL-SC-NIID
  Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks
  ☆24Updated 2 years ago
• wizard1203 / VHL
  ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning
  ☆41Updated 2 years ago
• kimwj94 / ProtoFSSL
  ☆14Updated last year
• yuetan031 / FedPCL
  [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach
  ☆42Updated last year
• daiqing98 / FedCIL
  Code for ICLR 2023 Paper Better Generative Replay for Continual Federated Learning
  ☆27Updated last year
• TsingZ0 / FedTGP
  AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…
  ☆40Updated 3 weeks ago
• jangsoohyuk / Robust-Federated-Learning-with-Noisy-Labels
  Code for 'Robust Federated Learning with Noisy Labels'
  ☆13Updated 3 years ago
• guobbin / PFL-MoE
  Federated Learning - PyTorch
  ☆15Updated 3 years ago
• xiyuanyang45 / FedAS
  Code Implementation and Informations about FedAS
  ☆20Updated 5 months ago
• akhilmathurs / orchestra
  Source code for the ICML 2022 paper: "Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering"
  ☆55Updated last year
• ycao5602 / KAFAL
  Code for the paper "Knowledge-Aware Federated Active Learning with Non-IID Data", ICCV2023
  ☆11Updated last year
• Xu-Jingyi / FedCorr
  CVPR 2022: FedCorr: Multi-Stage Federated Learning for Label Noise Correction
  ☆37Updated 10 months ago
• illidanlab / FedRBN
  [AAAI'23] Federated Robustness Propagation: Sharing Robustness in Heterogeneous Federated Learning
  ☆26Updated last year
• shangxinyi / CReFF-FL
  ☆45Updated 2 years ago
• sjtudyq / FedConcat
  Exploiting Label Skew in Federated Learning with Model Concatenation (AAAI 2024)
  ☆14Updated last year
• lunanbit / FedUL
  FedUL: Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients
  ☆33Updated last year
• raymin0223 / LoGo
  Re-thinking Federated Active Learning based on Inter-class Diversity (CVPR 2023)
  ☆31Updated last year
• duygunuryldz / Federated_Orthogonal_Training
  ☆9Updated last year
• Xtra-Computing / FedOV
  Towards Addressing Label Skews in One-Shot Federated Learning (ICLR 2023)
  ☆17Updated last year