YongzheJia / FedLPS
☆11Updated last year
Alternatives and similar repositories for FedLPS:
Users that are interested in FedLPS are comparing it to the libraries listed below
- The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".☆29Updated 2 years ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆40Updated 2 years ago
- ☆23Updated 2 years ago
- ☆30Updated 2 years ago
- FedGH: Heterogeneous Federated Learning with Generalized Global Header (MM'23)☆14Updated last year
- Codebase for "Greedy Shapley Client Selection for Communication-Efficient Federated Learning"☆17Updated last year
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆36Updated last year
- Source code for the paper "Asynchronous Federated Optimization"☆25Updated 2 years ago
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆62Updated 6 months ago
- This is the repository for the work "An ensemble mechanism to tackle the heterogeneity in asynchronous federated learning"☆11Updated 3 years ago
- Pytorch implementations of some general federated optimization methods.☆39Updated 5 months ago
- This is an official implementation for the ICLR2023 paper "The Best of Both Worlds: Accurate Global and Personalized Models through Feder…☆15Updated 3 weeks ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆77Updated 2 years ago
- This repository contains the official implementation of the paper entitled with "FedAPEN: Personalized Cross-silo Federated Learning with…☆12Updated last year
- Official Code for PACFL AAAI 2023☆41Updated last year
- ☆28Updated 2 years ago
- Diverse Client Selection for Federated Learning via Submodular Maximization☆29Updated 2 years ago
- Research code that accompanies the paper FedCL: Federated Multi-Phase Curriculum Learning to Synchronously Correlate User Heterogeneity.☆21Updated last year
- Federated learning with model quantization☆16Updated 3 years ago
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆48Updated 2 years ago
- Official code for "Federated Learning under Heterogeneous and Correlated Client Availability" (INFOCOM'23)☆28Updated 2 years ago
- ☆16Updated 2 years ago
- Codes for the paper FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning☆46Updated 2 years ago
- The official implementation of "Federated Learning with Label-Masking Distillation"☆11Updated last year
- A project for simulation of Asynchronous Federated Learning☆21Updated 3 years ago
- Code for ScaleFL☆31Updated last year
- Paper: "Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices"☆15Updated last year
- Federated Learning Algorithm (Pytorch) : FedAvg, FedProx, MOON, SCAFFOLD, FedDyn☆25Updated 4 months ago
- ☆11Updated 3 years ago
- Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge☆38Updated 2 years ago