Alternatives and similar repositories for GrouProx:

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

• morningD / FlexCFL
  FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.
  ☆48Updated 2 years ago
• jichan3751 / ifca
  Codebase for An Efficient Framework for Clustered Federated Learning.
  ☆109Updated 4 years ago
• HongdaWu1226 / FedPNS
  ☆31Updated 2 years ago
• rong-dai / DisPFL
  [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"
  ☆74Updated 2 years ago
• MMorafah / FLIS
  FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution
  ☆38Updated 2 years ago
• mingxuts / multi-center-fed-learning
  fully ready experiments
  ☆35Updated 2 years ago
• felisat / clustered-federated-learning
  Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints
  ☆162Updated 3 years ago
• congxie1108 / async_fl
  Source code for the paper "Asynchronous Federated Optimization"
  ☆24Updated 2 years ago
• ycruan / FedSoft
  Source code for "FedSoft: Soft Clustered Federated Learning with Proximal Local Updating"
  ☆15Updated 2 years ago
• anonymousgit2020 / fedsem
  ☆26Updated 4 years ago
• litian96 / ditto
  Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)
  ☆139Updated 2 years 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 …
  ☆34Updated 7 months ago
• guskarls / dfl-pens
  Decentralized federated learning of deep neural networks on non-iid data
  ☆40Updated 2 years ago
• diwangs / asynchronous-federated-learning
  Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)
  ☆59Updated last year
• hjraad / FLT
  ☆23Updated last year
• omarfoq / FedEM
  Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)
  ☆158Updated 2 years ago
• HyperionZhou / CMFL
  CMFL: Mitigating Communication Overhead for Federated Learning / PyTorch reimplementation.
  ☆28Updated 5 years ago
• CGCL-codes / FedGKD
  ☆22Updated last year
• ddayzzz / federated-meta
  Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"
  ☆73Updated 4 years ago
• TheWitcher05 / Federated_learning_with_differential_privacy
  Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.
  ☆30Updated 3 years ago
• katsura-jp / fedavg.pytorch
  A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017
  ☆76Updated 5 months ago
• AdamWei-boop / Federated-Learning-with-Local-Differential-Privacy
  Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.
  ☆45Updated 2 years ago
• maxencenoble / Differential-Privacy-for-Heterogeneous-Federated-Learning
  Differentially Private Federated Learning on Heterogeneous Data
  ☆59Updated 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,…
  ☆62Updated 4 months ago
• yuxuan18 / fedAsync
  simulation of the asynchronous federated learning system of paper "Asynchronous Federated Optimization"
  ☆20Updated 3 years ago
• CGCL-codes / pFedSD
  The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".
  ☆28Updated 2 years ago
• yuetan031 / FedProto
  [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients
  ☆135Updated 2 years ago
• alpemreacar / FedDyn
  ☆71Updated 3 years ago
• chamathpali / FedSim
  Similarity Guided Model Aggregation for Federated Learning
  ☆23Updated 2 years ago