Abstract: Federated Graph learning (FGL) for networked system data enables collaborative model training without sharing raw data, but it also introduces severe privacy risks. Model inversion attacks ...
Abstract: Robust and reliable communication is a necessity for maintaining the integrity of electronic systems. However, this can be severely impacted by electromagnetic interference (EMI) and the ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results