Unraveling the Security Puzzle: A Distributed Framework to Build Trust in FPGAs

2015 ◽  
pp. 95-111 ◽  
Author(s):  
Devu Manikantan Shila ◽  
Vivek Venugopalan ◽  
Cameron D. Patterson
Keyword(s):  
Distributed Framework

Towards a Distributed Framework for Multi-Agent Reinforcement Learning Research

2020 ◽  
Author(s):  
Yutai Zhou ◽  
Shawn Manuel ◽  
Peter Morales ◽  
Sheng Li ◽  
Jaime Pena ◽  
...  
Keyword(s):  
Reinforcement Learning ◽  
Distributed Framework ◽  
Multi Agent ◽  
Learning Research

Distributed task allocation for multiple heterogeneous UAVs based on consensus algorithm and online cooperative strategy

2018 ◽  
Vol 90 (9) ◽  
pp. 1464-1473 ◽  
Author(s):  
Weinan Wu ◽  
Naigang Cui ◽  
Wenzhao Shan ◽  
Xiaogang Wang
Keyword(s):  
Task Allocation ◽  
Consensus Algorithm ◽  
Communication Link ◽  
Communication Mode ◽  
Cooperative Strategy ◽  
Bayesian Theorem ◽  
Content Type ◽  
Distributed Framework ◽  
Allocation Process ◽  
Distributed Task Allocation

Purpose The purpose of this paper is to develop a distributed task allocation method for cooperative mission planning of multiple heterogeneous unmanned aerial vehicles (UAVs) based on the consensus algorithm and the online cooperative strategy. Design/methodology/approach In this paper, the allocation process is conducted in a distributed framework. The cooperative task allocation problem is proposed with constraints and uncertainties in a real mission. The algorithm based on the consensus algorithm and the online cooperative strategy is proposed for this problem. The local chain communication mode is adopted to restrict the bandwidth of the communication link among the UAVs, and two simulation tests are given to test the optimality and rapidity of the proposed algorithm. Findings This method can handle both continuous and discrete uncertainties in the mission space, and the proposed algorithm can obtain a feasible solution in allowable time. Research limitations/implications This study is only applied to the case that the total number of the UAVs is less than 15. Practical implications This study is expected to be practical for a real mission with uncertain targets. Originality/value The proposed algorithm can go beyond previous works that only deal with continuous uncertainties, and the Bayesian theorem is adopted for estimation of the target.

A distributed framework for creating mobile mixed reality systems

2014 ◽  
Author(s):  
Tsubasa Ogino ◽  
Yuki Matsuda ◽  
Le Van Nghia ◽  
Daisuke Kawabata ◽  
Kento Yamazaki ◽  
...  
Keyword(s):  
Mixed Reality ◽  
Distributed Framework
Sign in / Sign up

Export Citation Format

Share Document