Bilateral Privacy Protection Scheme Based On Adaptive Location Generalization and Grouping Aggregation in Mobile Crowdsourcing

X Sun, Y Wang, P Duan, Q Zia… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
In mobile crowdsourcing (MCS), the task information released by task publishers and the
sensed data submitted by workers may expose their privacy, while the rapid growth of MCS …

Privacy-Enhanced Personalized Federated Learning With Layer-Wise Gradient Shielding on Heterogeneous IoT Data

Z He, F Zhang, Y Li, Y Cao, Z Cai - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Federated learning (FL) enables multiple IoT devices to collaboratively train a global model
without centralizing raw data. However, achieving optimal performance for each device is …

Leveraging Unknown Objects to Construct Labeled-Unlabeled Meta-Relationships for Zero-Shot Object Navigation

Y Zheng, C Li, C Lan, Y Li, X Zhang, Y Zou… - arXiv preprint arXiv …, 2024 - arxiv.org
Zero-shot object navigation (ZSON) addresses situation where an agent navigates to an
unseen object that does not present in the training set. Previous works mainly train agent …