Alternatives and similar repositories for MATCHA

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

• scottjiao / Gradient-Compression-Methods
  ☆33Updated 5 years ago
• epfml / ChocoSGD
  Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356
  ☆72Updated 5 years ago
• jiangyuang / ModelPruningLibrary
  ☆22Updated 4 years ago
• jiangyuang / PruneFL
  This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".
  ☆94Updated 3 years ago
• jichan3751 / ifca
  Codebase for An Efficient Framework for Clustered Federated Learning.
  ☆119Updated 5 years ago
• kiddyboots216 / CommEfficient
  PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms
  ☆78Updated 4 years ago
• illidanlab / SplitMix
  [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time
  ☆48Updated 2 years ago
• melodi-lab / divfl
  Diverse Client Selection for Federated Learning via Submodular Maximization
  ☆32Updated 3 years ago
• s-huu / Ditto
  ☆54Updated 4 years ago
• charleslipku / LotteryFL
  LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning (2021 IEEE/ACM Symposium on Edge Co…
  ☆41Updated 2 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
  ☆174Updated 2 years ago
• xinyandai / gradient-quantization
  vector quantization for stochastic gradient descent.
  ☆35Updated 5 years ago
• bibikar / feddst
  Federated Dynamic Sparse Training
  ☆32Updated 3 years ago
• rong-dai / DisPFL
  [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"
  ☆82Updated 3 years ago
• epfml / federated-learning-public-code
  ☆161Updated 2 years ago
• 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
• PengchaoHan / Adaptive_Gradient_Sparsification_FL
  Adaptive gradient sparsification for efficient federated learning: an online learning approach
  ☆18Updated 4 years ago
• ramshi236 / Accelerated-Federated-Learning-Over-MAC-in-Heterogeneous-Networks
  SCAFFOLD and FedAvg implementation
  ☆61Updated 4 years ago
• CharlieDinh / FedU_FMTL
  This repo implements FedU, a multitask learning framework for federated learning
  ☆29Updated 5 months ago
• omarfoq / FedEM
  Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)
  ☆163Updated 2 years ago
• felisat / federated-learning
  ☆96Updated 4 years ago
• JYWa / FedNova
  PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.
  ☆222Updated 5 years ago
• liecn / PyramidFL
  [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Che…
  ☆71Updated 3 years ago
• git-disl / scale-fl
  Code for ScaleFL
  ☆30Updated 2 years ago
• felisat / clustered-federated-learning
  Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints
  ☆177Updated 4 years ago
• SymbioticLab / Oort
  Oort: Efficient Federated Learning via Guided Participant Selection
  ☆129Updated 4 years ago
• alpemreacar / FedDyn
  ☆79Updated 3 years ago
• litian96 / ditto
  Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)
  ☆148Updated 3 years ago
• SamuelHorvath / FL-optimal-client-sampling
  ☆29Updated 2 years ago
• Chung-ju / Federated-learning-papers
  Papers related to federated learning in top conferences (2020-2024).
  ☆70Updated last year