2 papers
cs.LG2025
FedTopo: Topology-Informed Representation Alignment in Federated Learning under Non-I.I.D. Conditions
Ke Hu, Liyao Xiang, Peng Tang +1
Current federated-learning models deteriorate under heterogeneous (non-I.I.D.) client data, as their feature representations diverge and pixel- or patch-level objectives fail to ca…
cs.CR2025
PVMark: Enabling Public Verifiability for LLM Watermarking Schemes
Haohua Duan, Liyao Xiang, Xin Zhang
Watermarking schemes for large language models (LLMs) have been proposed to identify the source of the generated text, mitigating the potential threats emerged from model theft. Ho…