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FedVLR

The source code for "Federated Vision-Language-Recommendation with Personalized Fusion"

Install / Use

/learn @mtics/FedVLR
About this skill

Quality Score

0/100

Supported Platforms

Zed

README

FedVLR

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This project is the code of Our Paper "Federated Vision-Language-Recommendation with Personalized Fusion"

Poster of FedVLR

Requirements

  1. The code is implemented with Python ~= 3.8 and torch~=2.4.0+cu118;
  2. Other requirements can be installed by pip install -r requirements.txt.
  3. For multimodal dataset processing, please refer to mtics/MMRec_Dataset_Preprocessing

Quick Start

  1. Put datasets into the path [parent_folder]/datasets/;

  2. For quick start, please run:

    python main.py --alias MMFedRAP --dataset movielens --data_file ml-100k.dat \
        --lr 1e-3 --l2_reg 1e-5 --seed 0
    
  3. All multimodal FedRecs start with 'MM'.

Thanks

In the implementation of this project, we drew upon the following resources: MMRec, RecBole and Tenrec. We sincerely appreciate their open-source contributions!

Contact

  • This project is free for academic usage. You can run it at your own risk.
  • For any other purposes, please contact Mr. Zhiwei Li (lizhw.cs@outlook.com)
View on GitHub
GitHub Stars11
CategoryDevelopment
Updated17d ago
Forks0

Languages

Python

Security Score

75/100

Audited on Mar 19, 2026

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