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Federated Inference with Reliable Uncertainty Quantification over Wireless Channels via Conformal Prediction [article]

Meiyi Zhu, Matteo Zecchin, Sangwoo Park, Caili Guo, Chunyan Feng, Osvaldo Simeone
2023 arXiv   pre-print
The devices communicate statistical information about their local data to the server over a common wireless channel, aiming to enhance the quality of the inference decision at the server.  ...  Recent work has introduced federated conformal prediction (CP), which leverages devices-to-server communication to improve the reliability of the server's decision.  ...  CONCLUSIONS AND OUTLOOKS This paper has introduced wireless federated conformal prediction (WFCP), the first protocol for the deployment of federated inference via CP in shared noisy communication channels  ... 
arXiv:2308.04237v2 fatcat:noaugza5azg55dbmgak76vm5cq

The CENTRIC Project Vision on Sustainable AI-native Air-interface for 6G Networks

Ramoni Ojekunle Adeogun, Halid Hrasnica, Carles Navarro Manchon, Audrey Bienvenu
2024 Zenodo  
The CENTRIC vision begins with a top-down, modular approach that starts with users' objectives and application-specific requirements.  ...  This white paper presents the visionary approach of the CENTRIC project towards developing a sustainable AI-native Air-Interface for 6G networks, aiming to revolutionize wireless communication through  ...  CENTRIC aims to develop modular meta-learning strategies integrated with Bayesian and/or conformal inference methods for adaptation and monitoring.  ... 
doi:10.5281/zenodo.10720914 fatcat:lkzhuzb5w5htrcovr2kd6dqpgy

2021 Index IEEE Internet of Things Journal Vol. 8

2021 IEEE Internet of Things Journal  
Aggregation for Federated Learning Over Wireless Net-Fading via Generalized Score Tests.  ...  ., +, Over-the-Air Aggregation With Multiple Shared Channels and Graph-Based State Estimation for Industrial IoT Systems.  ... 
doi:10.1109/jiot.2022.3141840 fatcat:42a2qzt4jnbwxihxp6rzosha3y

The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning [article]

Raed Kontar, Naichen Shi, Xubo Yue, Seokhyun Chung, Eunshin Byon, Mosharaf Chowdhury, Judy Jin, Wissam Kontar, Neda Masoud, Maher Noueihed, Chinedum E. Okwudire, Garvesh Raskutti (+3 others)
2021 arXiv   pre-print
Those industries include manufacturing, transportation, energy, healthcare, quality & reliability, business, and computing.  ...  This paradigm shift was set into motion by the tremendous increase in computational power on IoT devices and the recent advances in decentralized and privacy-preserving model training, coined as federated  ...  Over Reliability engineering is concerned with the failure behavior the past decade, many networking problems have relied on of a system under stated conditions.  ... 
arXiv:2111.05326v1 fatcat:bbgdhtuqcrhstgakt2vxuve2ca

Semantic Communications for Future Internet: Fundamentals, Applications, and Challenges [article]

Wanting Yang, Hongyang Du, Ziqin Liew, Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato, Xuefen Chi, Xuemin Sherman Shen, Chunyan Miao
2022 arXiv   pre-print
With the increasing demand for intelligent services, the sixth-generation (6G) wireless networks will shift from a traditional architecture that focuses solely on high transmission rate to a new architecture  ...  Semantic communication (SemCom), a revolutionary architecture that integrates user as well as application requirements and meaning of information into the data processing and transmission, is predicted  ...  to ensure its transmission reliability and the accuracy of the semantic inference.  ... 
arXiv:2207.00427v2 fatcat:awh5a7bunnblbgz636pzvpldue

Semantics-Empowered Communication: A Tutorial-cum-Survey [article]

Zhilin Lu, Rongpeng Li, Kun Lu, Xianfu Chen, Ekram Hossain, Zhifeng Zhao, Honggang Zhang
2023 arXiv   pre-print
Furthermore, we propose to categorize the critical enabling techniques by explicit and implicit reasoning-based methods, and elaborate on how they evolve and contribute to modern content & channel semantics-empowered  ...  Along with the springing up of the semantics-empowered communication (SemCom) research, it is now witnessing an unprecedentedly growing interest towards a wide range of aspects (e.g., theories, applications  ...  With the TABLE V: Recognized sentences in different systems over Rayleigh channel (for SNR = 4 dB) [119] .  ... 
arXiv:2212.08487v5 fatcat:kubt5kreyff6tm6gxl6wngqwti

The Wireless Craze, The Unlimited Bandwidth Myth, The Spectrum Auction Faux Pas, and the Punchline to Ronald Coase's "Big Joke": An Essay on Airwave Allocation Policy

Thomas W. Hazlett
2001 Social Science Research Network  
What is impossible to infer from FCC designations is the productivity of wireless services versus alternative opportunities.  ...  The Federal Communications Commission has been stingy with the radio frequencies that make wireless telephone calls possible.  ...  UWB has, in fact, been delayed for over a decade while various interests (including NASA and the Federal Aviation Administration) complain that the technology will interfere with important public safety  ... 
doi:10.2139/ssrn.286932 fatcat:xvz25bjv5nh4ho3wfqtqrloe3y

2021 Index IEEE Transactions on Industrial Informatics Vol. 17

2021 IEEE Transactions on Industrial Informatics  
., +, TII July 2021 4904-4913 Probabilistic Solar Irradiation Forecasting Based on Variational Bayesian Inference With Secure Federated Learning.  ...  ., +, TII July 2021 4904-4913 Probabilistic Solar Irradiation Forecasting Based on Variational Bayesian Inference With Secure Federated Learning.  ... 
doi:10.1109/tii.2021.3138206 fatcat:ulsazxgmpfdmlivigjqgyl7zre

Sim2real for Reinforcement Learning Driven Next Generation Networks [article]

Peizheng Li, Jonathan Thomas, Xiaoyang Wang, Hakan Erdol, Abdelrahim Ahmad, Rui Inacio, Shipra Kapoor, Arjun Parekh, Angela Doufexi, Arman Shojaeifard, Robert Piechocki
2022 arXiv   pre-print
The emerging network structure represented by Open RAN (O-RAN) conforms to this trend, and the radio intelligent controller (RIC) at the centre of its specification serves as an ML applications host.  ...  Due to the variation of wireless propagation channel and latency of network layer, The uncertain delay of getting UE reward feedback will cause chaotic training logic for agents.  ...  The standardization of wireless network DT is in progress, but its design should basically conform to the following principles: • Extendibility: DT maintains open interfaces for different surrogate models  ... 
arXiv:2206.03846v1 fatcat:7fe7hufrxrg23m5zb67k3kbz5y

Comparative trust management with applications: Bayesian approaches emphasis

Krishnaprasad Thirunarayan, Pramod Anantharam, Cory Henson, Amit Sheth
2014 Future generations computer systems  
The goal is to provide a comprehensive broad overview of the trust landscape, with the nittygritties of a handful of approaches.  ...  As agents providing content and services become increasingly removed from the agents that consume them, the issue of robust trust inference and update becomes critical.  ...  Trust inference algorithms (trust models) deal with how to compose primitive trust values associated with edges to obtain aggregated trust values over paths and subgraphs as discussed in Section 5.3.  ... 
doi:10.1016/j.future.2013.05.006 fatcat:bgrrhrvabzhxhgvyovbto5joom

Towards a synchronized semantic model to support aspects of building management

Michael Dibley, Haijiang Li, John Miles, Yacine Rezgui
2009 2009 7th IEEE International Conference on Industrial Informatics  
Additionally further inferences are facilitated including those about wasted resources such as unnecessary lighting and heating for example.  ...  Agent behaviour directed at working toward goals is rendered intelligent with semantic web technologies.  ...  The infrastructure interface modules read sensors typically via interrupt driven mechanisms or by a relatively fast polls (5 Hz), and notify the sensors node over the .Net Remoting channels at a lower  ... 
doi:10.1109/indin.2009.5195822 fatcat:z2s4micvrvhwzioiivpdxz2t54

Intelligent Edge-Embedded Technologies for Digitising Industry [chapter]

Ovidiu Vermesan, Mario Diaz Nava
2022 Intelligent Edge-Embedded Technologies for Digitising Industry  
Topics range from the theory and use of systems involving all terminals, computers, and information processors to wired and wireless networks and network layouts, protocols, architectures, and implementations  ...  The series includes research monographs, edited volumes, handbooks and textbooks, providing professionals, researchers, educators, and advanced students in the field with an invaluable insight into the  ...  TEMPO has also received funding from the German Federal Ministry of Education and Research (BMBF) under Grant No.16ESE0407.  ... 
doi:10.13052/rp-9788770226103 fatcat:mgz277pmkbetvbpoaomoktzgzi

Risk Management Framework [chapter]

2012 Risk Management in Electronic Banking  
DEDICATION This thesis is dedicated to the military service members, academics, role models, and family members that have shaped my views of the world over the past thirty-six years.  ...  As the prospect of risk quantification became increasingly manifest, organizations have made huge investments in unearthing any utility that could provide them with an advantage over their competitors  ...  Rationality implies the conformity of one's beliefs with one's reasons to believe, or of one's actions with one's reasons for action.  ... 
doi:10.1002/9781118390436.ch4 fatcat:b5uyj2ustvdyddscrbjkqlm2cq

News Briefs

1995 Journal of Research of the National Institute of Standards and Technology  
The NIST work thus raises a caution with respect to using this type of fiber for Bragg gratings.  ...  ., foreign, and international standards, technical regulations, and conformity assessment procedures in its role as the U.S. inquiry point under the WTO Agreement on Technical Barriers to Trade (TBT Agreement  ...  that integrated-circuit manufacturers can use to improve their predictions of the reliability of their products.  ... 
doi:10.6028/jres.100.055 fatcat:blxu22bwlrfsbpjk3hkcqqfgni

Applications and Techniques for Fast Machine Learning in Science

Allison McCarn Deiana, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier Duarte, Philip Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci-Memik (+35 others)
2022 Frontiers in Big Data  
Federated learning over wireless fading channels. IEEE Trans.  ...  Convergence time optimization for federated learning over wireless networks. IEEE Trans.  ... 
doi:10.3389/fdata.2022.787421 pmid:35496379 pmcid:PMC9041419 fatcat:5w2exf7vvrfvnhln7nj5uppjga
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