Alternatives and similar repositories for Federated-Benchmark

Users that are interested in Federated-Benchmark are comparing it to the libraries listed below

• jichan3751 / ifca
  Codebase for An Efficient Framework for Clustered Federated Learning.
  ☆116Updated 4 years ago
• litian96 / ditto
  Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)
  ☆145Updated 3 years ago
• diogenes0319 / FedMD_clean
  FedMD: Heterogenous Federated Learning via Model Distillation
  ☆157Updated 4 years ago
• eceisik / ece_fl_public
  ☆54Updated 3 years ago
• gaoliang13 / FedDC
  An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"
  ☆85Updated 3 years ago
• Di-Chai / FedEval
  ☆45Updated last year
• pliang279 / LG-FedAvg
  [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations
  ☆240Updated last year
• tanjuntao / VFL_paper_list
  vertical federated learning paper lists
  ☆76Updated 4 years ago
• omarfoq / FedEM
  Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)
  ☆163Updated 2 years ago
• morningD / GrouProx
  FedGroup, A Clustered Federated Learning framework based on Tensorflow
  ☆41Updated 3 years ago
• diwangs / asynchronous-federated-learning
  Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)
  ☆62Updated last year
• 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"…
  ☆84Updated 5 years ago
• diaoenmao / HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients
  [ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients
  ☆171Updated 2 years ago
• XinyiYS / CollaborativeFairFederatedLearning
  Official implementation of our work "Collaborative Fairness in Federated Learning."
  ☆53Updated last year
• Minki-Kim95 / Federated-Learning-and-Split-Learning-with-raspberry-pi
  SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things
  ☆111Updated 4 years ago
• rong-dai / DisPFL
  [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"
  ☆80Updated 3 years ago
• mtang724 / Self-Balancing-Federated-Learning
  Implementation of the paper "Self-Balancing Federated Learning With Global Imbalanced Data in Mobile Systems"
  ☆46Updated last year
• ipc-lab / private-ml-for-health
  Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)
  ☆75Updated 5 months ago
• ramshi236 / Accelerated-Federated-Learning-Over-MAC-in-Heterogeneous-Networks
  SCAFFOLD and FedAvg implementation
  ☆60Updated 4 years ago
• Xtra-Computing / FedSim
  A coupled vertical federated learning framework that boosts the model performance with record similarities (NeurIPS 2022)
  ☆27Updated 2 years ago
• yjlee22 / FedShare
  PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.
  ☆123Updated 3 years ago
• kiddyboots216 / CommEfficient
  PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms
  ☆78Updated 3 years ago
• zhuangdizhu / FedGen
  Code and data accompanying the FedGen paper
  ☆252Updated 9 months ago
• IBM / probabilistic-federated-neural-matching
  Bayesian Nonparametric Federated Learning of Neural Networks
  ☆144Updated 6 years ago
• JYWa / FedNova
  PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.
  ☆217Updated 4 years ago
• jeremy313 / Soteria
  Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"
  ☆57Updated 2 years ago
• shaoxiongji / fed-att
  Attentive Federated Learning for Private NLM
  ☆61Updated last year
• c-gabri / Federated-Learning-PyTorch
  PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…
  ☆77Updated 3 years ago
• maxencenoble / Differential-Privacy-for-Heterogeneous-Federated-Learning
  Differentially Private Federated Learning on Heterogeneous Data
  ☆66Updated 3 years ago
• open-intelligence / federated-learning-chinese
  ☆111Updated 4 years ago