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08/18/2023
Defending Label Inference Attacks in Split Learning under Regression Setting
As a privacy-preserving method for implementing Vertical Federated Learn...
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07/18/2023
Federated Large Language Model: A Position Paper
Large scale language models (LLM) have received significant attention an...
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07/07/2023
Federated Unlearning via Active Forgetting
The increasing concerns regarding the privacy of machine learning models...
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10/18/2022
Making Split Learning Resilient to Label Leakage by Potential Energy Loss
As a practical privacy-preserving learning method, split learning has dr...
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03/22/2022
Making Recommender Systems Forget: Learning and Unlearning for Erasable Recommendation
Privacy laws and regulations enforce data-driven systems, e.g., recommen...
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12/28/2021
Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback
In federated learning (FL) problems, client sampling plays a key role in...
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03/05/2020
Practical Privacy Preserving POI Recommendation
Point-of-Interest (POI) recommendation has been extensively studied and ...
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12/26/2019
