35 citations · 50 across the 5 of their papers we have counts for
5 papers
Intermittent Pulling with Local Compensation for Communication-Efficient Federated Learning
Haozhao Wang, Zhihao Qu, Song Guo +3
Federated Learning is a powerful machine learning paradigm to cooperatively train a global model with highly distributed data. A major bottleneck on the performance of distributed…
Construction of Subexponential-Size Optical Priority Queues with Switches and Fiber Delay Lines
Bin Tang, Xiaoliang Wang, Cam-Tu Nguyen +2
All-optical switching has been considered as a natural choice to keep pace with growing fiber link capacity. One key research issue of all-optical switching is the design of optica…
RDMAvisor: Toward Deploying Scalable and Simple RDMA as a Service in Datacenters
Zhi Wang, Xiaoliang Wang, Zhuzhong Qian +2
RDMA is increasingly adopted by cloud computing platforms to provide low CPU overhead, low latency, high throughput network services. On the other hand, however, it is still challe…
Technique Report: Near-Optimal Routing Protection for SDN Networks Using Distributed Markov Approximation
Huawei Huang, Song Guo, Weifa Liang +2
Software Defined Networking (SDN) brings numbers of advantages along with many challenges. One particular concern is on the control-plane resilience, while the existing protection…
Expander Chunked Codes
Bin Tang, Shenghao Yang, Baoliu Ye +2
Chunked codes are efficient random linear network coding (RLNC) schemes with low computational cost, where the input packets are encoded into small chunks (i.e., subsets of the cod…