Publications by authors named "Jin Jiahe"

Federated Learning is an effective solution to address the issues of data isolation and privacy leakage in machine learning. However, ensuring the security of network devices and architectures deploying federated learning remains a challenge due to network attacks. This paper proposes an attention-based Graph Neural Network for detecting cross-level and cross-department network attacks.

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Article Synopsis
  • Age-related macular degeneration (AMD) leads to blindness by damaging essential components of the retina, specifically the retinal pigment epithelium (RPE) and photoreceptors (PRs).
  • Researchers developed biodegradable scaffolds made of poly(glycerol sebacate) (PGS) that allow for the targeted delivery and organization of RPE and PRs in the outer retina, which is crucial for treating advanced AMD.
  • The innovative scaffolds can be produced rapidly through a photocuring process and support the growth of stem cell-derived RPE and PRs, potentially enhancing retinal cell transplantation and improving outcomes for patients with AMD and similar conditions.
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