From: Muhammed Akif AGCA 

Sent: Friday, August 19, 2022 6:30 AM

To: aiframework <aiframework@nist.gov>; Mehmet Aksit 

Cc: Sriram, Ram D. (Fed) ; Muhammed Akif Agca; Muhammed Akif AĞCA; Atakan Peker 

Subject: Response to Comment Request --->>> NIST Seeks Comments on AI Risk Management 

Framework Guidance, Workshop Date Set

Dear Sir/Madam,

Please see my attached (1) recent survey and the solution paper initial version (2) as reply to comment 

requests.

1- Ağca, M. A., Faye, S., & Khadraoui, D. (2022). A Survey on Trusted Distributed Artificial Intelligence. IEEE Access.

2- Agca, M. A. (2019, December). A holistic abstraction to ensure trusted scaling and memory speed trusted analytics. In 2019 International Conference on 

Computational Science and Computational Intelligence (CSCI) (pp. 1428-1434). IEEE. 

Furthermore, if there is interest we can define a joint research with NIST also within the scope of below 

abstracts. Thanks for the interest again;

-Muhammed

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SESSION 27-ICAI: ARTIFICIAL INTELLIGENCE + NOVEL ALGORITHMS AND APPLICATIONS Chair: 

TBA July 28, 2022 (Thursday); 03:20pm - 06:20pm (LOCATION: Galleria Ballrooms D & E) 04:40 - 05:00pm.

brainIT: A Generic IT Core Mechanism for Continuous Growth-Flow in Dynamic Chaotic Context

Muhammed Akif AĞCA

Computer Engineering Department TOBB University of Economics and Technology, TOBB ETÜ, Ankara, 

TÜRKİYE - Luxembourg Institute of Science and Technology / LIST, Esch-Sur-Alzette, Luxembourg

Abstract: Brain CAPEX (Capital Expenses) is for free to the human being but the OPEX (Operational Expenses) is 

not. Since, the fluctuations on critical nutrition for brain makes it complicated to grow via optimal path as continues 

progress due to the chaotic OPEX changes. Fortunately, intelligent systems are able to adapt the change dynamically 

up to varying chaotic context, by keeping trustworthiness of the whole system via available distributed resources and 

algorithms. However, increasing number of nodes in the system inflates complexity of swarm behavior due to 

computation and memory limitations. Drastic progress saved in the emerging edge devices, can enable to produce 

innovative trusted AI/ML algorithms at run-time, which can help to make massive analytics at the edge nodes in (near) 

real time. In spite of this, keeping the system resilient require real-time updates in different system layers. As another 

critical milestone, increased scalability and faster in memory processing speed can be accomplished via big data 

technologies and ledger base chained structures in some manner. In order to keep high performance of the total system, 

mission/safety/operation critical applications require to be verified by critical check-points. Thereby, end-to-end trust 

mechanism and swarm controller methods can improve trusted scalability of the intelligent systems analytical 

functions and resources. So that, the dynamic holistic views can ensure trustworthiness in chaotic context with the 

brainIT generic IT core mechanism for continuous growth in massive-chaos, which ensures to keep local/global legal 

constraints-based risk minimization via 5G connected hybrid-cloud systems within the observed socio-dynamic 

parameters with minimized optimal OPEX costs.

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SESSION 28-PDPTA-ICEQT: PARALLEL & DISTRIBUTED PROCESSING + EMERGENT QUANTUM 

TECHNOLOGIES Chair: TBA July 28, 2022 (Thursday); 08:20am - 10:20am (LOCATION: Galleria Ballroom A) 

09:20 - 09:40am.

End-to-end Trusted Execution Environment (TEE) with Dynamic Holistic View Based Throughput Maximization 

Approach

Muhammed Akif AĞCA 
Computer Engineering Department TOBB University of Economics and Technology, TOBB ETÜ, Ankara, 

TÜRKİYE - Luxembourg Institute of Science and Technology / LIST, Esch-Sur-Alzette, Luxembourg

Abstract: Drastic progress and improvements on classical behavior modelling approaches; such as, cellular automata, 

chaotic systems, hierarchical block diagram modeling methods enabled to avoid of cumborsomism while adapting the 

dynamism at massive scale at some extend. However, persisting and ensuring the trust for varying contexts with an 

E2E trust mechanism require dynamic holistic views to adapt the dynamism at massive scale with extended data 

locality to the edges in trusted scalable manner. Initial observations for data exchange over a hybrid-cloud node, 

instead of cell unit scenario in 5G environment with the trust mechanism is promising to meet zero latency requirement 

of MEC (Multi-access/Mobile Edge Computing) edge units thanks to the improvements provided via memory-centric 

system design paradigms. It shows that data can be transmitted over a hybrid-cloud node rather than cell units can 

maximize total system throughput of emerging hybrid-clouds, which have 5/6G connectivity and strong quantum 

back-end units with the E2E trusted execution environment (TEE) and dynamic holistic views. By that means, it is 

promising to utilize MEMCA hybrid-cloud as massive scale cyber-intelligence system within the national security 

legal constraints with the E2E TEE, which have maximized total system throughput via dynamic holistic views of the 

observed chaotic context. So that, we can say that efficient utilization of MEMCA hybrid-cloud to national security 

systems as digital dynamics core mechanism can port the massive chaos in socio-dynamics to massive-growth via the 

dynamic feedback controller structures and embedded check-points to the available physical locations within the 

(near) real-time cyber intelligence mechanisms with maximized total system throughput values.

- https://www.american-cse.org/static/NEW-2022-CSCE-BOOKLET-FINAL.pdf 

[gcc02.safelinks.protection.outlook.com]

- https://www.american-cse.org/static/CSCE22-book-abstracts-printing.pdf 

[gcc02.safelinks.protection.outlook.com]

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