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Federated Learning Research at Webank AI

This repository contains research projects in federated learning from Webank AI group. It includes:

  1. Datasets. Preprocessing codes of datasets we used and developed for federated learning research.
  2. Publications. Implementation codes of our publications.
  3. Projects. Other projects in federated learning.

NEWS

2020-11-06. The research directory is moved out from FATE project as an independent repository. Now you can get our latest research by staring this repo.

Datasets

Dataset Description
Street Dataset A real-world object detection dataset that annotates images captured by a set of street cameras based on object present in them, including 7 object categories.
Fed_ModelNet40 It consists of images taken from various views of 3D models, and can be used for vertical federated learning research.
NUS WIDE To simulate a vertical federated learning setting, the image features of samples is put on one party and the textual tags on another party.

Publications

Backdoor attacks and defenses in feature-partitioned collaborative learning. (https://arxiv.org/abs/2007.03608)

Real-World Image Datasets for Federated Learning. (https://arxiv.org/abs/1910.11089)

Federated Transfer Reinforcement Learning for Autonomous Driving. (https://arxiv.org/abs/1910.06001)

FedMVT: Semi-supervised Vertical Federated Learning with MultiView Training. (https://arxiv.org/abs/2008.10838)

A Communication Efficient Collaborative Learning Framework for Distributed Features. (https://arxiv.org/abs/1912.11187)

Secure Federated Transfer Learning. (https://arxiv.org/abs/1812.03337)

Projects

License

Apache 2.0 license.