Alternatives and similar repositories for FedCBO

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

• flint-xf-fan / Byzantine-Federated-RL
  [NeurIPS2021] Federated Reinforcement Learning with Theoretical Guarantees. The repo contains code and experiments for our Federated Poli…
  ☆102Updated 7 months ago
• Sofianebouaziz1 / FLASH-RL
  FLASH-RL (Federated Learning Addressing System and Static Heterogeneity using Reinforcement Learning) is a novel and effective strategy f…
  ☆52Updated last year
• CyberDataLab / nebula
  NEBULA: A Platform for Decentralized Federated Learning
  ☆68Updated 3 weeks ago
• pengyang7881187 / FedRL
  Hao Jin, Yang Peng, Wenhao Yang, Shusen Wang and Zhihua Zhang. Federated Reinforcement Learning with Environment Heterogeneity. AISTATS, …
  ☆63Updated 3 years ago
• tjdghks994 / FedPSO
  FedPSO: Federated Learning Using Particle Swarm Optimization to Reduce Communication Costs
  ☆19Updated 3 years ago
• kpdonahue / model_sharing_games
  Supporting code for https://arxiv.org/abs/2010.00753.
  ☆20Updated 4 years ago
• zibinpan / FedMDFG
  ☆19Updated last year
• youngfish42 / fl-arxiv-daily
  🎓Automatically Update FL Papers Daily using Github Actions (Update Every 12th hours)
  ☆24Updated this week
• glenn89 / FederatedRL
  ☆39Updated 3 years ago
• KarhouTam / Per-FedAvg
  PyTorch Implementation of Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach
  ☆56Updated 2 years ago
• hjraad / FLT
  ☆24Updated 2 years ago
• drmhrehman / trustfed
  This repository presents a blockchain-based framework, TrustFed, for Cross-Device Federated Learning systems to detect the model poisonin…
  ☆12Updated 3 years ago
• arodio / CA-Fed
  Official code for "Federated Learning under Heterogeneous and Correlated Client Availability" (INFOCOM'23)
  ☆29Updated 2 years ago
• SarodYatawatta / federated-pytorch-test
  Federated learning with PyTorch (federated averaging and consensus optimization): with 'reduced' bandwidth
  ☆42Updated last year
• aelgabli / FedNew
  FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning
  ☆18Updated 3 years ago
• yj4889 / yj4889-Optimized-Quantization-for-Convolutional-Deep-Neural-Networks-in-Federated-Learning
  Federated learning is a distributed learning method that trains a deep network on user devices without collecting data from central serve…
  ☆14Updated 5 years ago
• cuis15 / learning-to-collaborate
  ☆11Updated 3 years ago
• melodi-lab / divfl
  Diverse Client Selection for Federated Learning via Submodular Maximization
  ☆32Updated 3 years ago
• MondayCat / PLGA
  Asynchronous Federated Learning
  ☆20Updated 4 years ago
• liboyue / Network-Distributed-Algorithm
  Experiments for distributed optimization algorithms
  ☆84Updated 2 years ago
• ki-ljl / Per-FedAvg
  PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).
  ☆75Updated last year
• MiaoGroup-XDU / Compressed-Federated-Learning-Based-on-Adaptive-Local-Differential-Privacy
  The source code of the paper "Compressed Federated Learning Based on Adaptive Local Differential Privacy".
  ☆10Updated 2 years ago
• DesikRengarajan / FEDORA
  [NeurIPS 2024] Code for Federated Ensemble-Directed Offline Reinforcement Learning
  ☆25Updated last year
• HongdaWu1226 / FedPNS
  ☆32Updated 3 years ago
• CharlieDinh / FedU_FMTL
  This repo implements FedU, a multitask learning framework for federated learning
  ☆29Updated 7 months ago
• watml / Fed-MGDA
  ☆29Updated 3 years ago
• nathan-vo810 / Multiple-Edge-Servers-Federated-Learning
  Multiple Edge Servers Assignment for Local Device in Hierarchical Federated Learning
  ☆20Updated 4 years ago
• FRL2019 / FRL
  ☆41Updated 5 years ago
• chuanting / FedDA
  Source code for 'Dual Attention Based FL for Wireless Traffic Prediction'
  ☆70Updated 4 years ago
• yunsaijc / Federated-Learning-and-Differential-Privacy
  ☆16Updated 2 years ago