3 papers
cs.NI2026
Communication-Semantic-Aware RDMA Loss Recovery for QP-scalable Hyperscale AI Training
Xiaoxiang Hua, Tong Zhang, Zhenjiang Dong +3
Current artificial intelligence (AI) infrastructures widely adopt Remote Direct Memory Access (RDMA) to support high-performance communication. Training trillion-parameter models i…
cs.NI2026
RDMACell: Token-Based Flowcell-Level RDMA Load Balancing for Large-Scale AI Training
Yang Qinyuan, Hua Xiaoxiang, Zhang Tong +1
Remote Direct Memory Access (RDMA) is a core technol ogy for high-performance data center networks. However, its default Equal-Cost Multi-Path (ECMP) load-balancing mechanism often…
cs.NI2025
Mentor-Telemachus Bond: Transferring Knowledge in Semantic Communication via Contrastive Learning
Zhiyuan Xi, Kun Zhu, Yuanyuan Xu +1
Encoder, decoder and knowledge base are three major components for semantic communication. Recent advances have achieved significant progress in the encoder-decoder design. However…