2 papers
cs.IT2026
Capacity-Achieving Codes with Inverse-Ackermann-Depth Encoders
Yuan Li
We prove that for any additive noise channel over , there exist error-correcting codes approaching channel capacity encodable by arithmetic circuits (with weighted ad…
cs.LG2025
FedGraph: A Research Library and Benchmark for Federated Graph Learning
Yuhang Yao, Yuan Li, Xinyi Fan +7
Federated graph learning is an emerging field with significant practical challenges. While algorithms have been proposed to improve the accuracy of training graph neural networks,…