Alternatives and similar repositories for FedPNS

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

• rong-dai / DisPFL
  [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"
  ☆84Updated 3 years ago
• MMorafah / FLIS
  FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution
  ☆40Updated 3 years ago
• euphoria0-0 / Active-Client-Selection-for-Communication-efficient-Federated-Learning
  Active Client Selection for Federated Learning
  ☆49Updated 2 years ago
• guskarls / dfl-pens
  Decentralized federated learning of deep neural networks on non-iid data
  ☆45Updated 3 years ago
• LuminLiu / HierFL
  Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning
  ☆140Updated 5 years ago
• felisat / clustered-federated-learning
  Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints
  ☆185Updated 4 years ago
• omarfoq / FedEM
  Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)
  ☆166Updated 3 years ago
• Yoruko-Tang / FedCor
  Codes for the paper FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning
  ☆46Updated 2 years ago
• Accenture / Labs-Federated-Learning
  Accenture Labs Federated Learning
  ☆106Updated last year
• morningD / GrouProx
  FedGroup, A Clustered Federated Learning framework based on Tensorflow
  ☆42Updated 4 years ago
• AmanPriyanshu / FedPAQ-MNIST-implemenation
  An implementation of FedPAQ using different experimental parameters. We will be looking at different variations of how, r(number of clien…
  ☆23Updated 4 years ago
• congxie1108 / async_fl
  Source code for the paper "Asynchronous Federated Optimization"
  ☆26Updated 3 years ago
• yuxuan18 / fedAsync
  simulation of the asynchronous federated learning system of paper "Asynchronous Federated Optimization"
  ☆23Updated 4 years ago
• jichan3751 / ifca
  Codebase for An Efficient Framework for Clustered Federated Learning.
  ☆121Updated 5 years ago
• katsura-jp / fedavg.pytorch
  A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017
  ☆90Updated last year
• CharlieDinh / FEDL_pytorch
  This repository implements FEDL using pytorch
  ☆56Updated 5 years ago
• tian1327 / flsim_dqn
  D-DQN Reinforcement Learning for device selection in Federated Learning
  ☆42Updated 2 years ago
• morningD / FlexCFL
  FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.
  ☆54Updated 3 years ago
• iQua / flsim
  A simulation framework for Federated Learning written in PyTorch
  ☆209Updated 3 years ago
• diwangs / asynchronous-federated-learning
  Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)
  ☆63Updated 2 years ago
• rbycntj / decentralized_federated_learning
  完全去中心化联邦学习
  ☆31Updated 2 years ago
• AdamWei-boop / Federated-Learning-with-Local-Differential-Privacy
  Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.
  ☆46Updated 3 years ago
• HyperionZhou / CMFL
  CMFL: Mitigating Communication Overhead for Federated Learning / PyTorch reimplementation.
  ☆29Updated 6 years ago
• ramshi236 / Accelerated-Federated-Learning-Over-MAC-in-Heterogeneous-Networks
  SCAFFOLD and FedAvg implementation
  ☆61Updated 4 years ago
• felisat / federated-learning
  ☆96Updated 4 years ago
• Orienfish / Async-HFL
  [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks
  ☆40Updated 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
  ☆177Updated 2 years ago
• pringlesinghal / GreedyFed
  Codebase for "Greedy Shapley Client Selection for Communication-Efficient Federated Learning"
  ☆19Updated 2 years ago
• chandra2thapa / SplitFed-When-Federated-Learning-Meets-Split-Learning
  Releasing the source code Version1.
  ☆177Updated 4 years ago
• lx10077 / fedavgpy
  On the Convergence of FedAvg on Non-IID Data
  ☆274Updated 3 years ago