jiahuanluo / Federated-Benchmark

Related projects ⓘ

Alternatives and complementary repositories for Federated-Benchmark

• mtang724 / Self-Balancing-Federated-Learning
  Implementation of the paper "Self-Balancing Federated Learning With Global Imbalanced Data in Mobile Systems"
  ☆46Updated 11 months ago
• gaoliang13 / FedDC
  An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"
  ☆79Updated 2 years ago
• eceisik / ece_fl_public
  ☆52Updated 2 years ago
• XinyiYS / CollaborativeFairFederatedLearning
  Official implementation of our work "Collaborative Fairness in Federated Learning."
  ☆49Updated 5 months ago
• abbas5253 / SplitNN-for-Vertically-Partitioned-Data
  Integration of SplitNN for vertically partitioned data with OpenMined's PySyft
  ☆28Updated 4 years ago
• jichan3751 / ifca
  Codebase for An Efficient Framework for Clustered Federated Learning.
  ☆105Updated 4 years ago
• lingjuanlv / FPPDL
  code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"
  ☆31Updated 2 years ago
• ramshi236 / Accelerated-Federated-Learning-Over-MAC-in-Heterogeneous-Networks
  SCAFFOLD and FedAvg implementation
  ☆59Updated 3 years ago
• SamuelHorvath / FL-optimal-client-sampling
  ☆27Updated last year
• anonymousgit2020 / fedsem
  ☆26Updated 4 years ago
• kevinhsieh / non_iid_dml
  ☆28Updated 4 years ago
• morningD / GrouProx
  FedGroup, A Clustered Federated Learning framework based on Tensorflow
  ☆38Updated 2 years ago
• jeremy313 / non-iid-dataset-for-personalized-federated-learning
  Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…
  ☆81Updated 4 years ago
• jeremy313 / Soteria
  Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"
  ☆55Updated last year
• fedl-repo / fedaux
  ☆28Updated 3 years ago
• Di-Chai / FedEval
  ☆41Updated 6 months ago
• XinyiYS / Robust-and-Fair-Federated-Learning
  Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …
  ☆33Updated 5 months ago
• katsura-jp / fedavg.pytorch
  A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017
  ☆79Updated 3 months ago
• c-gabri / Federated-Learning-PyTorch
  PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…
  ☆67Updated 2 years ago
• omarfoq / knn-per
  Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)
  ☆42Updated last year
• maxencenoble / Differential-Privacy-for-Heterogeneous-Federated-Learning
  Differentially Private Federated Learning on Heterogeneous Data
  ☆59Updated 2 years ago
• lebyni / PFA
  ☆36Updated 3 years ago
• morningD / FlexCFL
  FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.
  ☆45Updated 2 years ago
• hongyouc / FedBE
  FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning
  ☆38Updated last year
• Tzq2doc / FedMD
  FedMD: Heterogenous Federated Learning via Model Distillation
  ☆16Updated 5 years ago
• litian96 / ditto
  Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)
  ☆137Updated 2 years ago
• omarfoq / FedEM
  Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)
  ☆155Updated 2 years ago
• kiddyboots216 / CommEfficient
  PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms
  ☆72Updated 3 years ago
• AI-secure / CRFL
  CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)
  ☆71Updated 3 years ago
• vinuni-vishc / fedDCT
  FedDCT: A Novel Federated Learning Approach for Training Large Convolutional Neural Networks
  ☆34Updated last year