Guo-Jun Qi, Charu Aggarwal, et al.
IEEE TPAMI
We consider a problem of decentralized exploration of a faulty network by several simple, memoryless agents. The model we adopt for a network is a directed graph. We design an asynchronous algorithm that can cope with failures of network edges and nodes. The algorithm is self-stabilizing in the sense that it can be started with arbitrary initializations and scalable -new agents can be added while other agents are already running.
Guo-Jun Qi, Charu Aggarwal, et al.
IEEE TPAMI
Guojing Cong, David A. Bader
Journal of Parallel and Distributed Computing
Lars Graf, Thomas Bohnstingl, et al.
NeurIPS 2025
Kellen Cheng, Anna Lisa Gentile, et al.
EMNLP 2024