Alternatives and similar repositories for Federated-Sketching-LoRA-Implementation

Users that are interested in Federated-Sketching-LoRA-Implementation are comparing it to the libraries listed below

• TsingZ0 / HtFLlib
  You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.
  ☆198Updated last month
• Yoruko-Tang / FedCor
  Codes for the paper FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning
  ☆46Updated 2 years ago
• tian1327 / flsim_dqn
  D-DQN Reinforcement Learning for device selection in Federated Learning
  ☆41Updated 2 years ago
• rong-dai / DisPFL
  [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"
  ☆82Updated 3 years ago
• chandra2thapa / SplitFed-When-Federated-Learning-Meets-Split-Learning
  Releasing the source code Version1.
  ☆171Updated 4 years ago
• liecn / PyramidFL
  [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Che…
  ☆72Updated 3 years ago
• ki-ljl / Scaffold-Federated-Learning
  PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).
  ☆70Updated 3 years ago
• COPS-IITBHU / HCSFL
  Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge
  ☆43Updated 3 years ago
• yuetan031 / FedProto
  [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients
  ☆162Updated 3 years ago
• shaojiawei07 / Selective-FD
  ☆33Updated last year
• woodenchild95 / FL-Simulator
  Pytorch implementations of some general federated optimization methods.
  ☆46Updated 11 months ago
• melodi-lab / divfl
  Diverse Client Selection for Federated Learning via Submodular Maximization
  ☆32Updated 3 years ago
• HongdaWu1226 / FedPNS
  ☆32Updated 3 years ago
• LuminLiu / HierFL
  Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning
  ☆136Updated 5 years ago
• YongzheJia / FedLPS
  ☆14Updated last year
• cshjin / fedsimul
  A project for simulation of Asynchronous Federated Learning
  ☆21Updated 4 years ago
• xingyushu / FL_client_selection
  Federated learning client selection
  ☆19Updated 2 years ago
• FangXiuwen / Robust_FL
  ☆51Updated 9 months ago
• CGCL-codes / pFedSD
  The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".
  ☆29Updated 2 years ago
• lishenghui / awesome-fm-fl
  ✨✨A curated list of latest advances on Large Foundation Models with Federated Learning
  ☆134Updated 3 months ago
• omarfoq / FedEM
  Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)
  ☆163Updated 2 years ago
• Chenxing-Xuan / A-series-of-popular-science-in-federated-learning
  ☆76Updated 11 months ago
• longtanle / awesome-federated-LLM-learning
  This is a collection of research papers for Federated Learning for Large Language Models (FedLLM). And the repository will be continuousl…
  ☆98Updated 2 months ago
• JianXu95 / FedPAC
  Simplified Implementation of FedPAC
  ☆60Updated last year
• marswhu / HFL_Survey
  Heterogeneous Federated Learning: State-of-the-art and Research Challenges
  ☆159Updated 9 months 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
• FDU-INC / SplitFM
  ☆48Updated 8 months ago
• euphoria0-0 / Active-Client-Selection-for-Communication-efficient-Federated-Learning
  Active Client Selection for Federated Learning
  ☆49Updated 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
  ☆173Updated 2 years ago
• Accenture / Labs-Federated-Learning
  Accenture Labs Federated Learning
  ☆105Updated last year