Connectionists: CFP: THE 2ND INTERNATIONAL CONFERENCE ON FEDERATED LEARNING TECHNOLOGIES AND APPLICATIONS (FLTA24, Valencia, Spain. September 17-20, 2024)

[Dr.Fahed Alkhabbas]

[Apologies if you got multiple copies of this invitation]

THE 2ND INTERNATIONAL CONFERENCE ON FEDERATED LEARNING TECHNOLOGIES AND
APPLICATIONS (FLTA 24)

 https://flta-conference.org/
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Valencia, Spain. September 17-20, 2024

Technically Co-Sponsored by IEEE Spain Section

*FLTA 2024 CFP :*



The International Symposium on Federated Learning Technologies and
Applications (FLTA) is a premier venue for the timely publication of
archival research on FL management, systems, services and applications.
FLTA aims to provide attendees with a comprehensive understanding of FL
communication, computing, and system requirements. Through keynote
speeches, panel discussions, and presentations, attendees will have the
opportunity to engage with leading experts and learn about the latest
developments and future trends in the field.

FLTA focuses on fostering an understanding of FL, identifying technical
challenges, and exploring potential solutions, including distributed
optimisation, privacy-preserving techniques, intelligent learning
algorithms, personalised FL, communication efficiency approaches, open
challenges, and recent trends and opportunities. We welcome submissions
addressing the important challenges (see the non-exhaustive list of topics
below) and presenting novel research or experimentation results with system
or network-related case studies. Survey papers that offer a perspective on
related work and identify key challenges for future research will also be
considered.

We look forward to your submissions!



Specific topics of interest include, but are not limited, to the following:

   - Large-scale FL applications in IoT environments
   - Applications of FL
   - Blockchain for FL
   - Data Heterogeneity in FL
   - Device heterogeneity in FL
   - Fairness in FL
   - Hardware for on-device FL
   - Federated transfer learning
   - Adversarial attacks on FL
   - Optimization advances in FL
   - Partial participation in FL
   - Personalization in FL
   - Privacy Concerns in FL
   - Privacy-preserving methods for FL
   - Resource-efficient FL
   - Systems and infrastructure for FL
   - Theoretical contributions to FL
   - Vertical FL
   - Federated IoT
   - Security in FL
   - Explainable FL and AutoFL
   - FL clients model heterogeneity, aspects and solutions
   - Recommendations systems based on FL
   - Clustering FL techniques
   - Federated Reinforcement LearningFederated Learning with Non-IID Data
   - Horizontal, Vertical and Transfer Federated Learning: challenges and
   opportunities
   - FL approaches using traditional ML
   - FL secure fusion functions
   - Communications efficiency in FL


*Submission Guidelines**Paper format*

Submitted papers (.pdf format) must use the A4 IEEE Manuscript Templates
for Conference
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 Proceedings
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Please remember to add Keywords to your submission.
*Length*

There are three categories of submission.

   - *Long papers: *7-8 pages. Overlength papers will be rejected without
   review.
   - *Short papers: *4-6 pages.
   - *Poster papers: *1-2 pages (undergraduate).

 *Originality*

Papers submitted to FLTA must be the original work of the authors. They may
be outside of review elsewhere. Publications that have been peer-reviewed
and have appeared at other conferences or workshops may not be submitted to
FLTA. Authors should be aware that IEEE has a strict policy with regard to

plagiarism
https://www.ieee.org/publications/rights/plagiarism/plagiarism-faq.html.
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authors’ prior work must be cited appropriately.



*Important Dates:*

Submission Date: 30 June 2024 (Extended)
Notification to Authors: 15 July 2024
Camera Ready Submission: 10 August 2024



*Contact:*

Please send any inquiry on FLTA to

Sadi  Alawadi at: Sadi.alawadi at bth.se

Feras M. Awaysheh at : feras.awaysheh at ut.ee

Fahed Alkhabbas at: fahed.alkhabbas at mau.se

Addi Ait-Mlouk at : addi.ait-mlouk at his.se
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