3 papers
cs.CR2025
VeriLLM: A Lightweight Framework for Publicly Verifiable Decentralized Inference
Ke Wang, Zishuo Zhao, Xinyuan Song +7
Decentralized inference provides a scalable and resilient paradigm for serving large language models (LLMs), enabling fragmented global resource utilization and reducing reliance o…
cs.LG2025
Trajectory-Aware Information Matching for Multi-Step Gradient Inversion in Federated Learning
Li Xia, Jing Yu, Zheng Liu +3
Federated learning enables distributed information sharing and collaborative model training without exposing raw client data. However, shared gradients or model updates may still c…
math.NA2022
Dominant Eigenvalue-Eigenvector Pair Estimation via Graph Infection
Kaiyuan Yang, Li Xia, Y. C. Tay
We present a novel method to estimate the dominant eigenvalue and eigenvector pair of any non-negative real matrix via graph infection. The key idea in our technique lies in approx…