This workshop will entertain research works on Decentralized AI for Robust Intelligence. The new paradigm of AI to be sought in this workshop, will be built theoretically upon a quantitative model to assess and keep track of the robustness of intelligence as the computational transactions are executed over a blockchain-based decentralized network with an expectation to assure robust intelligence and to counter the potentially biased and thus unrobust intelligence due to the centralization-nature of conventional AI algorithms.
The workshop is particularly interested in but not limited to the specific research works as follows.
- A theoretical yet practical foundation for Decentralized AI for Robust Intelligence.
- New consensus protocols along with NFT-based Proofs with specific respect to the Robustness of interest, to serve as the foundation of robust deployment of AI transactions over a blockchain-based network.
- New quantitative models to define and assess the Robustness of transactions and blocks in blockchain-based computing and network.
- Extensive benchmark experiments with Deterministic, Probabilistic, Learning-based, Generative and Heusristic Decision Tree/Network, to demonstrate benefits of decentralized AI.
- New open-source prototypes for decentralized AI-powered platforms by redesigning the functions and smart contracts (e.g., consensus protocols-related) in the underlying open source to experimentally validate and demonstrate the efficacy of the decentralized AI models.
Steering Committee
- Cong Pu, Oklahoma State University
- Bagavathi Arun, Oklahoma State University
- N. Park, Oklahoma State University
Chair
- N. Park, Oklahoma State University
Publicity Chair
- Shital Joshi, Oklahoma State University
Technical Program Committee
- Cong Pu, Oklahoma State University
- M.J. Kwak, Middle Georgia State University
- Tao Feng, Duke Energy
- Eric Chain-Tin, Loyola University-Chicago
- Shital Joshi, Oklahoma State University
- Bagavathi Arun, Oklahoma State University
- N. Park, Oklahoma State University
- Abhilash Kancharla, University of Tampa
- J.H. Seol, Middle Georgia State University
KEYNOTE SPEAKERS
BCCA2024 Keynote at https://bcca-conference.org/2024/keynote.php
Authors Submission Guidelines:
Submission Site:
Paper format
Submitted papers (.pdf format) must use the A4 IEEE Manuscript Templates for Conference Proceedings. Please remember to add Keywords to your submission.
Length
The paper submission length according to each category (Overlength charges will be applied!):
- Long papers: (7-8 pages).
- Short papers: (5-6 pages).
- Poster papers: (1-2 pages).
Originality
Papers submitted must be the original work of the authors. The may not be simultaneously under review elsewhere. Publications that have been peer-reviewed and have appeared at other conferences or workshops may not be submitted. Authors should be aware that IEEE has a strict policy with regard to plagiarism https://www.ieee.org/publications/rights/plagiarism/plagiarism-faq.html The authors' prior work must be cited appropriately.
Author list
Please ensure that you submit your papers with the full and final list of authors in the correct order. The author list registered for each submission is not allowed to be changed in any way after the paper submission deadline.
Proofreading:
Please proofread your submission carefully. It is essential that the language use in the paper is clear and correct so that it is easily understandable. (Either US English or UK English spelling conventions are acceptable.)
Publication:
All accepted papers in the workshops colocated with BCCA 2024 will be submitted to IEEEXplore for possible publication.
Program
The program will be announced with the BCCA2024 program at https://bcca-conference.org/2024/program.php
Venue
For venue and acomodoation information, please visit https://bcca-conference.org/2024/hotel-and-travel.php
Registration
For registration information, please visit https://bcca-conference.org/2024/registration.php
Camera Ready
For registration information, please visit https://bcca-conference.org/2024/cameraready.php