FLTA2024: The 2nd International Conference on Federated Learning Technologies and Applications Valencia, Spain, September 17-20, 2024 |
| Conference website | http://flta-conference.org/ |
| Submission link | https://easychair.org/conferences/?conf=flta2024 |
| Submission deadline | May 31, 2024 |
The 2nd IEEE International Conference on Federated Learning Technologies and Applications (FLTA2024).
17-20 September 2024. Valencia, Spain.
Federated Learning, AI/ML new frontier, is a revolutionary technology in decentralized systems that enables privacy-preserving distributed Machine Learning. It is now playing a significant role in Edge Intelligence and pioneering several applications such as Healthcare and Medical Research, Smart Cities and Industry 4.0, Automotive and Mobility Services, beyond 5G\6G applications, and much more. It promises to move the learning to the network edge, closer to the data allocation. This trend enables real-time decision-making, Data privacy preservation, and elastic scalability and efficiency. In essence, FL leads to sustainability in data privacy and security of large-scale data analytics. This conference aims to attract the work of researchers and practitioners in Federated Learning to share and exchange their experiences and research studies in both academia and industry.
FLTA 2024 aims to provide attendees with a comprehensive understanding of FL communication, computing, and system requirements. Through keynote speeches, panel discussions, and presentations, attendees can engage with leading experts and learn about the latest developments and future trends in the field.
Researchers are encouraged to submit original research contributions in all major areas, which include, but are not limited to:
SCOPE
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Federated learning frameworks Federated learning architectures Federated learning algorithms
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Privacy-preserving AI & Edge AI Distributed Machine Learning Secure and Trustworthy AI\ML |
TOPICS OF INTEREST
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Federated Learning Communication-efficiency Federated Learning modelling and simulation Federated Learning datasets and benchmarking Federated Learning new trends & open Challenges |
FL Associated Technologies FL Aggregation Algorithms FL Applications, use cases, scenarios FL security and efficiancy
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Publication
IEEE is a technical sponsor of FLTA 2024. All accepted papers in FLTA 2024 and the workshops co-located with it will be submitted to IEEEXplore, DBLP, and Scopus for inclusion. Also, all the best paper nominees will be invited to Q1 journals.
Submission Guidelines
There are three categories of submission in the Main track:
- Long papers: 7-8 pages.
- Short papers: 5-6 pages.
- Poster papers (Undergrad): 1-2 pages.
Submission Link:
https://easychair.org/conferences/?conf=flta2024
Important dates
- Paper submission deadline: May 31, 2024 (Extended Deadline)
- Notification of paper acceptance: July 15, 2024
- Submission of camera-ready papers due: August 10, 2024
Workshop dates:
- Workshop Proposal Submission Deadline: April 30th, 2024
- Notification of acceptance: May 10th, 2024
Organizing Committee
General Co-Chair
- Schahram Dustdar, Vienna University of Technology (TU Wien), Austria
- Omer Rana, Complex Systems research group, Cardiff University, United Kingdom
Local organizing committee chair:
·Jaime Lloret Mauri, Universidad Politécnica de Valencia, Spain
·Sandra Sendra, Universidad Politecnica de Valencia, Spain (Local Organising chair)
·Gregorio Martinez Perez, University of Murcia, Spain
Program Co-Chairs
·Feras M. Awaysheh, Tartu University, Estonia
·Sadi Alawadi, Halmstad University, Sweden
·Lorenzo Carnevale, University of Messina, Italy
Awards, diversity, and inclusion chair
·Flavia Delicato, Fluminense Federal University, Brazile
·Anna Kobusińska Poznań University of Technology, Poland
Please send any inquiry on FLTA to: info@flta-conference.org