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Exploiting environmental signals to enable policy correlation in large-scale decentralized systems

Panayiotis Danassis, Zeki Doruk Erden, Boi Faltings
2022 Autonomous Agents and Multi-Agent Systems  
own history, and (c) we run large-scale simulations (up to 64 agents).  ...  On top of that, real-world problems are inherently large-scale and of low observability. One key concept that facilitates human coordination in such settings is the use of conventions.  ...  The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material.  ... 
doi:10.1007/s10458-021-09541-7 fatcat:vrgr5lhlovhjnc2iwqg6exy3ui

IG-RL: Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal Control [article]

François-Xavier Devailly, Denis Larocque, Laurent Charlin
2020 arXiv   pre-print
Our decentralized approach enables learning of a transferable-adaptive-traffic-signal-control policy.  ...  Scaling adaptive traffic-signal control involves dealing with combinatorial state and action spaces.  ...  this large-scale context.  ... 
arXiv:2003.05738v4 fatcat:7c77ep74gna2fp3jdw5gkjj3ti

Guest Editorial Special Issue on Edge Intelligence for Sustainable Smart Environments

Carlo Mastroianni, Franco Cicirelli, Min Jia, Sabita Maharjan, Ian Taylor
2022 IEEE Transactions on Green Communications and Networking  
The proposal of the authors is to predict the values of some parameters from other parameters, by exploiting both temporal correlation and cross-correlation of measured quantities.  ...  A set of experiments confirm that the presented approach is suitable for large-scale DNN parallelism in a multi-user local-edge-cloud environment with limited computing resources.  ... 
doi:10.1109/tgcn.2022.3148565 fatcat:b4uruwbajbfrphj2mj5k6q32xy

Decentralized Wastewater Systems in Bengaluru, India: Success or Failure?

Pradeep Kuttuva, Sharachchandra Lele, Gara Villalba Mendez
2018 Water Economics and Policy  
But decentralized systems face several challenges (economic feasibility, public acceptance) that need to be better understood.  ...  The city of Bengaluru in India provides an excellent opportunity to evaluate such systems.  ...  In such a scenario, DWTRU systems could be further disadvantaged due to the loss of economies of scale.  ... 
doi:10.1142/s2382624x16500430 fatcat:nffihusirngojmvr3aaspgejvu

Subnational participation in extra-national policy solutions: Kitakyushu City as an intermediate agent in policy coordination

Yasuo Takao
2017 The Pacific Review  
Multilevel governance and cross-scale coordination will open up opportunities for a variety of stakeholders to participate in decisionmaking.  ...  This article will examine the potential of subnational participation to make a policy choice, mediated by local governments, to be congruent with global strategies and national mandates in a consistent  ...  This turned out to be the first successful case in which city-to-city environmental cooperation aligned with Japan's large-scale ODA.  ... 
doi:10.1080/09512748.2017.1282537 fatcat:akyex6niobe4xjtzburzj4umdq

Over-the-Air Computing for Wireless Data Aggregation in Massive IoT [article]

Guangxu Zhu and Jie Xu and Kaibin Huang and Shuguang Cui
2020 arXiv   pre-print
Wireless data aggregation (WDA), referring to aggregating data distributed at devices (e.g., sensors and smartphone), is a common operation in 5G-and-beyond machine-type communications to support Internet-of-Things  ...  By exploiting the waveform superposition property of a multiple-access channel, AirComp turns the air into a computer for computing and communicating functions of distributed data at many devices, thereby  ...  The integrated functional computation and wireless transmission enables AirComp to support fast WDA in large-scale distributed sensing with multiaccess latency independent of the network scale. B.  ... 
arXiv:2009.02181v2 fatcat:akrt55jgjbhh3i26q2gz5fs6fi

When Sensor and Actuator Networks Cover the World

John A. Stankovic
2008 ETRI Journal  
Notably, they are also being combined for an amazingly large multiplicative effect.  ...  This fact will give rise to revolutionary applications. However, to make this vision a reality, many research challenges must be overcome.  ...  The scaling and interactions across systems also dynamically change the models and create a need for decentralized control.  ... 
doi:10.4218/etrij.08.1308.0099 fatcat:gctzeasqcbbspmaisdwiq5tt5y

PowerNet: Multi-agent Deep Reinforcement Learning for Scalable Powergrid Control [article]

Dong Chen, Kaian Chen. Zhaojian Li, Tianshu Chu, Rui Yao, Feng Qiu, Kaixiang Lin
2021 arXiv   pre-print
The decentralized learning scheme and high sample efficiency also make it viable to large-scale power grids.  ...  In addition, to mitigate the effects of system uncertainty and random noise introduced during on-policy learning, we utilize an action smoothing factor to stabilize the policy execution.  ...  communication protocols in a large-scale and cooperative microgrid environment.  ... 
arXiv:2011.12354v2 fatcat:3hzafbdv7vfczne6436a23s6jy

A Survey on Multi-Robot Coordination in Electromagnetic Adversarial Environment: Challenges and Techniques

Yunlong Wu, Xiaoguang Ren, Hao Zhou, Yanzhen Wang, Xiaodong Yi
2020 IEEE Access  
Wireless communications and networking are playing an important role in coordination and cooperation of multi-robot systems (MRS).  ...  However, it is challenging to keep a reliable and stable wireless connection in practical applications.  ...  That is, although the decentralized mode is adopted in the training stage, the global signal is introduced to guide the training process.  ... 
doi:10.1109/access.2020.2981408 fatcat:d6bz4mrglvh4lgvzotia5omjri

Biohybrid systems for environmental intelligence on living plants

Laura García-Carmona, Stjepan Bogdan, Antonio Diaz-Espejo, Mikolaj Dobielewski, Heiko Hamann, Virginia Hernandez-Santana, Andreas Kernbach, Serge Kernbach, Alfredo Quijano-López, Niclas Roxhed, Babak Salamat, Mostafa Wahby
2021 Proceedings of the Conference on Information Technology for Social Good  
To face these new challenges IT technologies and their application to environmental intelligent monitoring become into a powerful tool to set new policies and blueprints to contribute to social good.  ...  "biohybrid organisms" to benefit social good in terms of environmental monitoring in urban scenarios.  ...  measurement stations distributed in large urban areas in a decentralized way (Snyder et al., 2013) .  ... 
doi:10.1145/3462203.3475885 fatcat:rnqhain3obfa5ofwchxug526aq

The future of power systems: Challenges, trends, and upcoming paradigms

João Abel Peças Lopes, André Guimarães Madureira, Manuel Matos, Ricardo Jorge Bessa, Vítor Monteiro, João Luiz Afonso, Sérgio F. Santos, João P. S. Catalão, Carlos Henggeler Antunes, Pedro Magalhães
2019 Wiley Interdisciplinary Reviews: Energy and Environment  
In order to achieve the Paris Agreement's ambitious environmental goals, a substantial increase in the contribution of renewable sources to the energy generation mix is required.  ...  The impact of these changes in the distribution system as a whole is evaluated from a technical and environmental perspective.  ...  The large-scale integration of EVs into the power grid will bring relevant environmental benefits, especially if the required power is produced from renewables.  ... 
doi:10.1002/wene.368 fatcat:q6z5afss4fgizk5dk4k753n23m

Role of Machine Learning in Resource Allocation Strategy over Vehicular Networks: A Survey

Ida Nurcahyani, Jeong Woo Lee
2021 Sensors  
The emergence of AI implementation in vehicular network resource allocation opens the opportunity to improve resource utilization to provide more reliable services.  ...  Therefore, a thorough understanding of how machine learning algorithms are utilized to offer a dynamic resource allocation in vehicular networks is provided in this study.  ...  Furthermore, the curse of dimensionality makes it unsuitable for implementation in large-scale networks.  ... 
doi:10.3390/s21196542 pmid:34640858 fatcat:6kzl53zterdcpexpvkinkvqqwe

Design Issues of an Operational Fire Detection System Integrated with Observation Sensors [chapter]

George Halikias, George Leventakis, Charalambos Kontoes, Vasilis Tsoulkas, Leonidas Dritsas, Athanasios Pantelous
2011 Advances in Satellite Communications  
especially for large-scale fire events and ESA's new initiative of a Satellite Based Alarm System.  ...  Introduction For the past decades large scale devastating fire events have been occurring in the Mediterranean region.  ...  How to reference In order to correctly reference this scholarly work, feel free to copy and paste the following: The Author(s). Licensee IntechOpen.  ... 
doi:10.5772/19896 fatcat:rwrmmqeop5dqhd2wwv3anv2v5u

Deep Learning in Mobile and Wireless Networking: A Survey [article]

Chaoyun Zhang, Paul Patras, Hamed Haddadi
2019 arXiv   pre-print
One potential solution is to resort to advanced machine learning techniques to help managing the rise in data volumes and algorithm-driven applications.  ...  Upcoming 5G systems are evolving to support exploding mobile traffic volumes, agile management of network resource to maximize user experience, and extraction of fine-grained real-time analytics.  ...  into training large-scale deep neural networks on distributed systems.  ... 
arXiv:1803.04311v3 fatcat:awuvyviarvbr5kd5ilqndpfsde

Deep Learning in Mobile and Wireless Networking: A Survey

Chaoyun Zhang, Paul Patras, Hamed Haddadi
2019 IEEE Communications Surveys and Tutorials  
One potential solution is to resort to advanced machine learning techniques, in order to help manage the rise in data volumes and algorithm-driven applications.  ...  Upcoming 5G systems are evolving to support exploding mobile traffic volumes, real-time extraction of fine-grained analytics, and agile management of network resources, so as to maximize user experience  ...  into training large-scale deep neural networks on distributed systems.  ... 
doi:10.1109/comst.2019.2904897 fatcat:xmmrndjbsfdetpa5ef5e3v4xda
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