While tokenized graph Transformers have demonstrated strong performance in node
classification tasks, their reliance on a limited subset of nodes with high similarity scores for …

Training high-quality deep models necessitates vast amounts of data, resulting in
overwhelming computational and memory demands. Recently, data pruning, distillation, and …

Backdoor attacks pose a serious threat to federated systems, where malicious clients
optimize on the triggered distribution to mislead the global model towards a predefined …