Call for Papers

The International Conference on Federated Learning and Data Science is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Artificial Intelligence, Data Science, Machine Learning, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Federated Learning For Privacy-preserving Ai
02
Challenges In Federated Learning Implementation
03
Applications Of Federated Learning In Healthcare
04
Data Sharing In Federated Learning Systems
05
Federated Learning For Edge Computing
06
Ethical Considerations In Federated Learning
07
Federated Learning In Financial Services
08
Real-world Case Studies Of Federated Learning
09
Federated Learning For Iot Devices
10
Performance Evaluation Of Federated Learning Models
11
Collaborative Learning Without Data Centralization
12
Federated Learning In Mobile Applications
13
Data Security In Federated Learning Frameworks
14
Future Trends In Federated Learning Research
15
Federated Learning For Natural Language Processing
16
Integrating Federated Learning With Blockchain
17
Federated Learning For Personalized Ai Models
18
Scalability Issues In Federated Learning Systems
19
Federated Learning In Smart Cities
20
Impact Of Federated Learning On Data Ownership
πŸ‘‰
Registration

Secure your participation by completing the registration process at the earliest. Limited presentation slots are allocated on a first-come, first-served basis.

Register Early & Reserve Your Slot
πŸ“„
Publication

High-quality submissions will be prioritized for publication opportunities in recognized journals and indexed proceedings.

Submit Your Paper Today

Universities Represented by Our Esteemed Researchers

Sponsored & Indexed By