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International Conference on Federated Learning and Data Science (ICFLDS-26)

20th - 21st October 2026 Milan, Italy
Hybrid Access Invitation Support

Join researchers, academicians, professionals, and industry experts to exchange ideas, strengthen academic collaboration, and explore research-driven practices across diverse disciplines.

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Professional Academic Experience

Participate in structured academic sessions, expert discussions, and professional knowledge-sharing opportunities.

Official Invitation Letter Available

Registered listeners can request an official invitation letter after successful registration confirmation.

Benefits of Registering as Listener
Access to Conference Sessions

Attend keynote, plenary and technical sessions across relevant academic tracks.

Academic Networking

Connect with researchers, professionals, academicians and industry specialists.

Certificate of Participation

Receive an official participation certificate after successful attendance.

Invitation Letter Support

Request official invitation letter support after confirmed registration.

Conference Materials

Access available session resources, proceedings and digital materials.

Professional Insights

Gain practical and research-oriented insights from expert discussions.

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4 Terms & Condition
Conference Programme and Participation Policy:

The Organiser may integrate aligned research topics, academic fields, and relevant SDGs into interdisciplinary or multidisciplinary sessions to facilitate meaningful discussion, cross-sector perspectives, and future research cooperation.

Refund, Cancellation, Postponement, Travel and Transfer of Registration:
Refund Policy:

If the registrant is unable to attend and is not in a position to transfer his/her participation to another person or event, then the following refund arrangements apply: Keeping given advance payments towards Venue, Printing, Shipping, Hotels, and other overheads, we had to keep the Refund Policy as the following slabs:

1. Cancellations made before 60 days of the conference are eligible for a full refund, subject to a $100 cancellation charge.
2. Cancellations made within 60-30 days of the conference are eligible for a 50% payment refund.
3. Cancellations made within 30 days of the conference are not eligible for a refund.
4. Virtual Participation registrations are non-refundable.

(a) The above refund policies are applicable only if the registrant has not received the official invitation letter for participation in the event, If the client receives the conference invitation letter but cannot attend the conference, no refund will be provided.

(b) If the client cannot attend the conference for any personal reasons, the registration fee is not refundable. However, the fee will be considered as a credit to participate in any of our international conferences within one year from the date of registration.

(c) In the event of a visa denial, travel reasons, or natural calamities preventing attendance, the registration fee will not be refunded. However, the fee will be considered as a credit to participate in any of our international conferences within one year from the date of registration.

(d) Since this conference is hybrid, the organizer reserves the right to conduct it in any format, physical or virtual. Refunds will not be provided for format changes.

(e) For participants who register close to the conference date or after the standard registration deadline, The registration will be considered for virtual participation only, as the conference is in hybrid mode. However, you will be eligible to attend one more international conference based on your registration category.

Cancellation Policy:

If the organizer cancels this event for any reason, you will receive a credit for 100% of the registration fee paid. You may use this credit for another event which must occur within one year from the date of cancellation.

Postponement of Event:

If the organizer postpones an event for any reason and you are unable or unwilling to attend on rescheduled dates, you will receive a credit for 100% of the registration fee paid. You may use this credit for another event which must occur within one year from the date of postponement.

Travel and Accommodation Responsibilities:

a) The responsibility for making and managing travel arrangements, including flights, transportation, and accommodation, lies solely with the individual participant.

b) In the event of any changes to the conference format, cancellation, or venue adjustments, the organizers cannot assume responsibility for any costs incurred by participants for travel or accommodation.

Transfer of registration:

All fully paid registrations are transferable to other persons from the same organization if the registered person is unable to attend the event. Transfers must be made by the registered person in writing to [email protected]. Details must include the full name of the replacement person, their title, contact phone number, and email address. All other registration details will be assigned to the new person unless otherwise specified. Registration can be transferred from one conference to another conference of the same organizer if the registrant is unable to attend one of the conferences

However, Registration cannot be transferred if it is intimated within 14 days of the respective conference. The transferred registrations will not be eligible for Refund.

Visa Information:

The organizer will not directly contact embassies and consulates on behalf of visa applicants. All delegates or invitees should take responsibility for their visa and travel arrangements. Important note for failed visa applications: Visa issues cannot come under the consideration of the cancellation policy of the organizer, including the inability to obtain a visa.

N.B:

All cancellations or modifications of registration must be made in writing to [email protected]

I agree and accept the Terms and Conditions of the website www.after.org.in

Conference Session Tracks

Aligned with United Nations Sustainable Development Goals

Our conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 9 SDG 11 SDG 16 SDG 17
01 Advancements in Federated Learning Algorithms
This track focuses on the latest developments in federated learning algorithms that enhance model accuracy and efficiency. Researchers are invited to present novel approaches that address the challenges of decentralized data processing.
02 Privacy-Preserving Techniques in AI
This session explores innovative privacy-preserving methodologies within artificial intelligence frameworks. Contributions should highlight techniques that safeguard user data while maintaining model performance.
03 Distributed Machine Learning Architectures
This track examines the architectural designs that facilitate distributed machine learning across various platforms. Papers should discuss scalability, robustness, and the integration of edge computing.
04 Secure Multi-Party Computation in Data Science
This session delves into secure multi-party computation techniques that enable collaborative data analysis without compromising privacy. Researchers are encouraged to share insights on practical applications and theoretical advancements.
05 Collaborative Model Training Strategies
This track focuses on strategies for collaborative model training that leverage decentralized data sources. Submissions should address challenges and solutions in synchronizing model updates across diverse environments.
06 Edge AI and Its Applications
This session highlights the role of edge AI in enhancing federated learning processes. Contributions should explore real-world applications and the implications of deploying AI models on mobile and edge devices.
07 Differential Privacy in Federated Learning
This track investigates the integration of differential privacy techniques within federated learning frameworks. Papers should focus on balancing privacy guarantees with model utility and performance.
08 Cross-Device Learning Paradigms
This session addresses the unique challenges and solutions associated with cross-device learning in federated settings. Researchers are invited to present methodologies that optimize learning across heterogeneous devices.
09 Data Sovereignty and Federated Learning
This track explores the implications of data sovereignty on federated learning practices. Contributions should discuss regulatory considerations and their impact on model training and deployment.
10 Communication-Efficient Learning Techniques
This session focuses on techniques that enhance communication efficiency in federated learning environments. Papers should present innovative methods to reduce bandwidth usage while ensuring model convergence.
11 Federated Optimization Methods
This track examines optimization strategies specifically designed for federated learning scenarios. Researchers are encouraged to share novel algorithms that improve convergence rates and overall model performance.