Alternatives and similar repositories for fmtl

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

• IBM / probabilistic-federated-neural-matching
  Bayesian Nonparametric Federated Learning of Neural Networks
  ☆146Updated 6 years ago
• roxanneluo / Federated-Learning
  ☆168Updated 8 years ago
• litian96 / fair_flearn
  Fair Resource Allocation in Federated Learning (ICLR '20)
  ☆254Updated 2 years ago
• IBM / FedMA
  Code for Federated Learning with Matched Averaging, ICLR 2020.
  ☆342Updated 4 years ago
• mynameisvinn / federated-learning
  tf implementation of federated learning
  ☆42Updated 6 years ago
• shaoxiongji / fed-att
  Attentive Federated Learning for Private NLM
  ☆60Updated last year
• SarodYatawatta / federated-pytorch-test
  Federated learning with PyTorch (federated averaging and consensus optimization): with 'reduced' bandwidth
  ☆42Updated last year
• ebagdasa / federated_adaptation
  Salvaging Federated Learning by Local Adaptation
  ☆56Updated last year
• felisat / federated-learning
  ☆96Updated 4 years ago
• pliang279 / LG-FedAvg
  [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations
  ☆244Updated last year
• CharlieDinh / pFedMe
  Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)
  ☆309Updated 3 years ago
• diogenes0319 / FedMD_clean
  FedMD: Heterogenous Federated Learning via Model Distillation
  ☆161Updated 4 years ago
• omarfoq / FedEM
  Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)
  ☆166Updated 3 years ago
• anonymousgit2020 / fedsem
  ☆26Updated 5 years ago
• kiddyboots216 / CommEfficient
  PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms
  ☆78Updated 4 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"…
  ☆86Updated 5 years ago
• MLOPTPSU / FedTorch
  FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.
  ☆193Updated 10 months ago
• JYWa / FedNova
  PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.
  ☆226Updated 5 years ago
• jichan3751 / ifca
  Codebase for An Efficient Framework for Clustered Federated Learning.
  ☆121Updated 5 years ago
• lx10077 / fedavgpy
  On the Convergence of FedAvg on Non-IID Data
  ☆275Updated 3 years ago
• ramshi236 / Accelerated-Federated-Learning-Over-MAC-in-Heterogeneous-Networks
  SCAFFOLD and FedAvg implementation
  ☆61Updated 4 years ago
• jiahuanluo / Federated-Benchmark
  A Benchmark of Real-world Image Dataset for Federated Learning
  ☆42Updated 6 years ago
• hjraad / FLT
  ☆24Updated 2 years ago
• AvivSham / pFedHN
  Official code implementation for "Personalized Federated Learning using Hypernetworks" [ICML 2021]
  ☆197Updated 2 years ago
• ddayzzz / federated-meta
  Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"
  ☆79Updated 5 years ago
• inspire-group / ModelPoisoning
  Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470
  ☆152Updated 3 years ago
• 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
  ☆116Updated 4 years ago
• litian96 / ditto
  Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)
  ☆158Updated 3 years ago
• xinyandai / gradient-quantization
  vector quantization for stochastic gradient descent.
  ☆35Updated 5 years ago
• litian96 / FedDANE
  FedDANE: A Federated Newton-Type Method (Asilomar Conference on Signals, Systems, and Computers ‘19)
  ☆26Updated 2 years ago