activity
20162021
most citedNetReduce: RDMA-Compatible In-Network Reduction for Distributed DNN Training Acceleration

13 citations · 23 across the 7 of their papers we have counts for

collaborators

7 papers

cs.DC2021

Utilizing Redundancy in Cost Functions for Resilience in Distributed Optimization and Learning

Shuo Liu, Nirupam Gupta, Nitin Vaidya

This paper considers the problem of resilient distributed optimization and stochastic machine learning in a server-based architecture. The system comprises a server and multiple ag…

eess.SY2021

On designing finite time iterative learning control based on steady state frequency response

Shuo Liu, Richard W. Longman, Benjamas Panomruttanarug

Iterative Learning Control (ILC) is useful in spacecraft application for repeated high precision scanning maneuvers. Repetitive Control (RC) produces effective active vibration iso…

eess.SY2021

Modifying and optimizing the inverse of the frequency response circulant matrix as an iterative learning control compensator

Shuo Liu, Richard W. Longman

Feedback control systems do not do what you ask. The concept of bandwidth is defined to tell what components of a command are reasonably well handled. Iterative Learning Control (I…

cs.DC2021★ 6 cited

CloudChain: A Cloud Blockchain Using Shared Memory Consensus and RDMA

Minghui Xu, Shuo Liu, Dongxiao Yu +3

Blockchain technologies can enable secure computing environments among mistrusting parties. Permissioned blockchains are particularly enlightened by companies, enterprises, and gov…

cs.NI2020★ 13 cited

NetReduce: RDMA-Compatible In-Network Reduction for Distributed DNN Training Acceleration

Shuo Liu, Qiaoling Wang, Junyi Zhang +5

We present NetReduce, a novel RDMA-compatible in-network reduction architecture to accelerate distributed DNN training. Compared to existing designs, NetReduce maintains a reliable…

physics.soc-ph2020★ 1 cited

Consensus, Bi-polarization and Multiformity in Opinion Dynamics with Bidirectional Thresholds

Shuo Liu, Xiwang Guan, Shuangling Luo +1

Many empirical networks are intrinsically pluralistic, with interactions occurring within groups of arbitrary agents. Then the agent in the network can be influenced by types of ne…

cs.RO2016★ 3 cited

Multi-Fingered Robotic Grasping: A Primer

Stefano Carpin, Shuo Liu, Joe Falco +1

This technical report presents an introduction to different aspects of multi-fingered robot grasping. After having introduced relevant mathematical background for modeling, form an…