[hpc-announce] Federated Learning conference CFP (FLTA2024)

[Sadi Alawadi]

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

https://urldefense.us/v3/__https://flta-conference.org/__;!!G_uCfscf7eWS!acpSCCw1QadZHcrII-LoGCs0cX46TMQCHo8B9ejFfKVfyv69VN7aNalF7jJ3rh01V1-KW8j1dUEMvXr0jv0pQ4Q$ 

*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 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



*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://urldefense.us/v3/__https://easychair.org/conferences/?conf=flta2024__;!!G_uCfscf7eWS!acpSCCw1QadZHcrII-LoGCs0cX46TMQCHo8B9ejFfKVfyv69VN7aNalF7jJ3rh01V1-KW8j1dUEMvXr0-UrfrUM$ 



*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 at flta-conference.org