26 citations · 87 across the 12 of their papers we have counts for
5 papers · 1 filter
Swift: Rethinking RDMA Control Plane for Elastic Computing
Junxue Zhang, Han Tian, Xinyang Huang +5
Elastic computing enables dynamic scaling to meet workload demands, and Remote Direct Memory Access (RDMA) enhances this by providing high-throughput, low-latency network communica…
MixNet: A Runtime Reconfigurable Optical-Electrical Fabric for Distributed Mixture-of-Experts Training
Xudong Liao, Yijun Sun, Han Tian +13
Mixture-of-Expert (MoE) models outperform conventional models by selectively activating different subnets, named experts, on a per-token basis. This gated computation generates dyn…
Towards Fair and Efficient Learning-based Congestion Control
Xudong Liao, Han Tian, Chaoliang Zeng +2
Recent years have witnessed a plethora of learning-based solutions for congestion control (CC) that demonstrate better performance over traditional TCP schemes. However, they fail…
Distributed Traffic Engineering in Hybrid Software Defined Networks: A Multi-agent Reinforcement Learning Framework
Yingya Guo, Qi Tang, Yulong Ma +2
Traffic Engineering (TE) is an efficient technique to balance network flows and thus improves the performance of a hybrid Software Defined Network (SDN). Previous TE solutions main…
Multi-Objective Congestion Control
Yiqing Ma, Han Tian, Xudong Liao +4
Decades of research on Internet congestion control (CC) has produced a plethora of algorithms that optimize for different performance objectives. Applications face the challenge of…