6 papers
MemWarp: Discontinuity-Preserving Cardiac Registration with Memorized Anatomical Filters
Hang Zhang, Xiang Chen, Renjiu Hu +3
Many existing learning-based deformable image registration methods impose constraints on deformation fields to ensure they are globally smooth and continuous. However, this assumpt…
Spikewhisper: Temporal Spike Backdoor Attacks on Federated Neuromorphic Learning over Low-power Devices
Hanqing Fu, Gaolei Li, Jun Wu +4
Federated neuromorphic learning (FedNL) leverages event-driven spiking neural networks and federated learning frameworks to effectively execute intelligent analysis tasks over amou…
On-demand Quantization for Green Federated Generative Diffusion in Mobile Edge Networks
Bingkun Lai, Jiayi He, Jiawen Kang +4
Generative Artificial Intelligence (GAI) shows remarkable productivity and creativity in Mobile Edge Networks, such as the metaverse and the Industrial Internet of Things. Federate…
Slicer Networks
Hang Zhang, Xiang Chen, Rongguang Wang +3
In medical imaging, scans often reveal objects with varied contrasts but consistent internal intensities or textures. This characteristic enables the use of low-frequency approxima…
Graph Anomaly Detection at Group Level: A Topology Pattern Enhanced Unsupervised Approach
Xing Ai, Jialong Zhou, Yulin Zhu +4
Graph anomaly detection (GAD) has achieved success and has been widely applied in various domains, such as fraud detection, cybersecurity, finance security, and biochemistry. Howev…
CATFL: Certificateless Authentication-based Trustworthy Federated Learning for 6G Semantic Communications
Gaolei Li, Yuanyuan Zhao, Yi Li
Federated learning (FL) provides an emerging approach for collaboratively training semantic encoder/decoder models of semantic communication systems, without private user data leav…