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FLTA 2024 : The 2nd IEEE International Conference on Federated Learning Technologies and Applications

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Link: https://flta-conference.org/
 
When Sep 17, 2024 - Sep 20, 2024
Where Valencia, Spain
Submission Deadline May 31, 2024
Categories    federated learning   machine learning   edge ai   privacy and security
 

Call For Papers

The 2nd IEEE International Conference on Federated Learning Technologies and Applications (FLTA2024).

https://flta-conference.org/

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

Federated learning frameworks

Federated learning architectures

Federated learning algorithms

Privacy-preserving AI & Edge AI

Distributed Machine Learning

Secure and Trustworthy AI\ML

TOPICS OF INTEREST

Federated Learning Communication-efficiency

Federated Learning modeling 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 efficiency


Publication

IEEE is a technical sponsor of FLTA 2024. All accepted papers in FLTA 2024 and the co-located workshops 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

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