The Application of Causal Inference Algorithms in Federated Recommender Systems

The Application of Causal Inference Algorithms in Federated Recommender Systems

This study introduces the application of causal inference algorithms in federated recommender systems through a framework called FedCIRec. The framework utilizes two key causal inference methods: Instrumental Variable (IV) and Counterfactual Inference (CF). IV helps identify and address confounding...

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Bibliographic Details
Main Authors: Yuanming Ding, Yongquan Sun, Jianxin Feng
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Federated learning
causal inference
recommendation systems
privacy protection
Online Access:https://ieeexplore.ieee.org/document/10360120/

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