Alternatives and similar repositories for FedAWARE

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

• zj-jayzhang / DENSE
  Official PyTorch implementation of DENSE (NeurIPS 2022)
  ☆30Updated 2 years ago
• melodi-lab / divfl
  Diverse Client Selection for Federated Learning via Submodular Maximization
  ☆32Updated 3 years ago
• cugzj / KT-pFL
  ☆33Updated 3 years ago
• bytedance / FedDecorr
  [ICLR2023] Official Implementation of Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (http…
  ☆68Updated 2 years ago
• JianXu95 / FedPAC
  Simplified Implementation of FedPAC
  ☆60Updated last year
• FangXiuwen / Robust_FL
  ☆51Updated 10 months ago
• alpemreacar / FedDyn
  ☆80Updated 3 years ago
• shangxinyi / CReFF-FL
  ☆52Updated 3 years ago
• ZexiLee / ICML-2023-FedLAW
  The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".
  ☆59Updated 2 years ago
• jhoon-oh / FedBABU
  ICLR 2022, "FedBABU: Toward Enhanced Representation for Federated Image Classification"
  ☆51Updated 3 years ago
• ZexiLee / ICCV-2023-FedETF
  The is the official implementation of ICCV 2023 paper "No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Syn…
  ☆26Updated 2 years ago
• SamuelHorvath / FL-optimal-client-sampling
  ☆29Updated 2 years ago
• illidanlab / FedRBN
  [AAAI'23] Federated Robustness Propagation: Sharing Robustness in Heterogeneous Federated Learning
  ☆27Updated 2 years ago
• yeachan-kr / c2a
  Pytorch implementations of Client-Customized Adaptation for Parameter-Efficient Federated Learning (Findings of ACL: ACL 2023)
  ☆17Updated 2 years ago
• Chung-ju / Federated-learning-papers
  Papers related to federated learning in top conferences (2020-2024).
  ☆70Updated last year
• jgshu / Attacks-and-Defenses-in-Federated-Learning
  ☆38Updated 4 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
  ☆41Updated 2 years ago
• haozzh / FedCR
  ☆21Updated 2 years ago
• Lee-Gihun / FedNTD
  (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"
  ☆89Updated 2 years ago
• leondada / FedAPT
  ☆17Updated last year
• AIoT-MLSys-Lab / FedRolex
  [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…
  ☆64Updated last year
• wizard1203 / VHL
  ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning
  ☆41Updated 3 years ago
• AC-Amiya233 / FedRep
  ☆15Updated 4 years ago
• TinfoilHat0 / Defending-Against-Backdoors-with-Robust-Learning-Rate
  The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".
  ☆34Updated 3 years ago
• MediaBrain-SJTU / pFedGraph
  ☆35Updated 2 years ago
• woodenchild95 / FL-Simulator
  Pytorch implementations of some general federated optimization methods.
  ☆46Updated last year
• zhuohangli / GGL
  A pytorch implementation of the paper "Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage".
  ☆61Updated 3 years ago
• 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…
  ☆101Updated 4 months ago
• zlh-thu / DPFL
  A Fine-grained Differentially Private Federated Learning against Leakage from Gradients
  ☆15Updated 2 years ago
• TsingZ0 / FedTGP
  AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…
  ☆59Updated 10 months ago