Alternatives and similar repositories for FedAWA

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

• k1l1 / SLT
  Paper: "Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices"
  ☆17Updated 2 years ago
• woodenchild95 / FL-Simulator
  Pytorch implementations of some general federated optimization methods.
  ☆51Updated last year
• xiyuanyang45 / FedAS
  Code Implementation and Informations about FedAS
  ☆32Updated 11 months ago
• wnma3mz / FedLMD
  The official implementation of "Federated Learning with Label-Masking Distillation"
  ☆11Updated 2 years ago
• WwZzz / FLGo
  ☆35Updated 2 years ago
• TsingZ0 / FedALA
  AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning
  ☆148Updated last year
• alpemreacar / FedDyn
  ☆83Updated 4 years ago
• sjtudyq / FedConcat
  Exploiting Label Skew in Federated Learning with Model Concatenation (AAAI 2024)
  ☆14Updated 2 years ago
• KarhouTam / pFedLA
  PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning
  ☆96Updated 2 years ago
• zhyczy / FedTP
  This is official implementation of FedTP (TNNLS.2023) [https://ieeexplore.ieee.org/abstract/document/10130784].
  ☆67Updated 2 years ago
• Xtra-Computing / MOON
  Model-Contrastive Federated Learning (CVPR 2021)
  ☆299Updated 3 years ago
• katsura-jp / fedavg.pytorch
  A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017
  ☆90Updated last year
• ki-ljl / Scaffold-Federated-Learning
  PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).
  ☆70Updated 3 years ago
• yuetan031 / FedProto
  [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients
  ☆174Updated 3 years ago
• KarhouTam / SCAFFOLD-PyTorch
  Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning
  ☆77Updated 3 weeks ago
• LipingYi / FedGH
  FedGH: Heterogeneous Federated Learning with Generalized Global Header (MM'23)
  ☆16Updated 2 years ago
• rong-dai / DisPFL
  [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"
  ☆84Updated 3 years ago
• marswhu / HFL_Survey
  Heterogeneous Federated Learning: State-of-the-art and Research Challenges
  ☆168Updated last year
• YongzheJia / FedLPS
  ☆15Updated 2 years ago
• yjlee22 / FedShare
  PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.
  ☆122Updated 3 years ago
• JunyiZhu-AI / confidence_aware_PFL
  Confidence-aware Personalized Federated Learning via Variational Expectation Maximization [Accepted at CVPR 2023]
  ☆16Updated 2 years ago
• gaoliang13 / FedDC
  An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"
  ☆88Updated 3 years ago
• meng1103 / Federated-Learning-Non-IID
  Federated Learning Algorithm (Pytorch) : FedAvg, FedProx, MOON, SCAFFOLD, FedDyn
  ☆26Updated last year
• TsingZ0 / HtFLlib
  You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.
  ☆223Updated 2 months ago
• bytedance / FedDecorr
  [ICLR2023] Official Implementation of Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (http…
  ☆70Updated 2 years ago
• YMJS-Irfan / DP-FedSAM
  This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…
  ☆56Updated 3 months ago
• FangXiuwen / Robust_FL
  ☆52Updated last year
• ZexiLee / ICCV-2023-FedETF
  The is the official implementation of ICCV 2023 paper "No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Syn…
  ☆27Updated 2 years ago
• WenkeHuang / Pytorch_FedMD
  ☆75Updated 5 years ago
• JianXu95 / FedPAC
  Simplified Implementation of FedPAC
  ☆61Updated 2 years ago