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An easy-to-use federated learning platform

Global and Local Prompts Cooperation via Optimal Transport for Federated Learning

The python implementation of our "UA-FedRec: Untargeted Attack on Federated News Recommendation" in KDD 2023.

[CIKM'22] "Personalized Federated Recommendation via Joint Representation Learning, User Clustering, and Model Adaptation"

[TIST'24] "PerFedRec++: Enhancing Personalized Federated Recommendation with Self-Supervised Pre-Training"

Code for www-24 paper "When Federated Recommendation Meets Cold-Start Problem: Separating Item Attributes and User Interactions"

A project for collecting and showing the current research progress of FedRec

Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearning, WWW 2023

Official codes for paper "Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation"

Work including the deep learning network for single channel source separation. The model files are also included for transfer and federated learning.

Federated Learning for Autonomous Driving: Enhancing Style Transfer Techniques for FFreeDA

Adaptive Group Personalization for Federated Mutual Transfer Learning (ICML2024)

Implementation of paper "PHiFL-TL: Personalized Hierarchical Federated Learning using Transfer Learning"

Mitigating Label Transferability against Poisoning Attacks in Cloud-edge-client System

python websockets, asyncio 모듈을 사용한 비동기 방식 Federated Transfer Learning 구현 (통신에서 발생하는 예외처리 미구현)

semisupervised and transfer learning in federated learning

This is the Official PyTorch implemention of our ICASSP2024 paper "G2G: Generalized Learning by Cross-Domain Knowledge Transfer for Federated Domain Generalization".

code from paper "Distributional Knowledge Transfer for Heterogeneous Federated Learning" in ISPA2022

Improving Transferability of Network Intrusion Detection in a Federated Learning Setup

Official implementation of "Regret-Optimal Federated Transfer Learning for Kernel Regression -- With Applications in American Option Pricing"

Source code and appendix for paper "FGTL: Federated Graph Transfer Learning for Node Classification".

The implementation of Paper "Parameterized Knowledge Transfer for Personalized Federated Learning"

Federated Transfer Learning Simulation

code for paper "Toward a Data-free Knowledge Transfer in Model-Heterogeneous Federated Learning"

This is the Official PyTorch implemention of our ICASSP2024 paper "G2G: Generalized Learning by Cross-Domain Knowledge Transfer for Federated Domain Generalization".

This is an unofficial implementation of Federated Transfer Learning using UCI Smartphone dataset