CityChan / Federated-Hyper-Knowledge-Distillation
This is an official implementation for the ICLR2023 paper "The Best of Both Worlds: Accurate Global and Personalized Models through Federated Learning with Data-Free Hyper-Knowledge Distillation"
☆17Updated 2 months ago
Alternatives and similar repositories for Federated-Hyper-Knowledge-Distillation
Users that are interested in Federated-Hyper-Knowledge-Distillation are comparing it to the libraries listed below
Sorting:
- ☆24Updated 2 years ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆40Updated 2 years ago
- The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".☆29Updated 2 years ago
- fully ready experiments☆39Updated 2 years ago
- repo in several methods FedAvg, FedMD, FedProto, FedProx, FedHKD.☆21Updated last year
- Source code for "FedSoft: Soft Clustered Federated Learning with Proximal Local Updating"☆17Updated 3 years ago
- Federated Learning Algorithm (Pytorch) : FedAvg, FedProx, MOON, SCAFFOLD, FedDyn☆26Updated 6 months ago
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆48Updated last year
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆79Updated 2 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
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆41Updated 3 years ago
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆38Updated 2 years ago
- Similarity Guided Model Aggregation for Federated Learning☆24Updated 3 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆82Updated 9 months ago
- ☆12Updated 2 years ago
- Official Code for PACFL AAAI 2023☆43Updated last year
- ☆48Updated 4 months ago
- ☆74Updated 4 years ago
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆88Updated 2 years ago
- Decentralized federated learning of deep neural networks on non-iid data☆46Updated 2 years ago
- Simplified Implementation of FedPAC☆56Updated last year
- Codes for the paper FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning☆46Updated 2 years ago
- ☆13Updated 3 years ago
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆49Updated 4 months ago
- The implementation of FedBCD algorithm published in the paper "FedBCD: A Communication-Efficient Collaborative Learning Framework for Dis…☆13Updated 10 months ago
- This is official code for ACIIDS2022 paper "Meta-learning and Personalization layer in Federated learning"☆29Updated last year
- Source code for the paper "Asynchronous Federated Optimization"☆25Updated 2 years ago
- ☆31Updated 2 years ago
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆131Updated 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