The ICAI 2025 Program Committee is inviting proposals for special sessions to be held during the conference (http://www.icai.org.cn/2025/Special%20Session.php), taking place on November 6-9, 2025, in Nan'ning, Guangxi, China.
Each special session proposal should be well motivated and should consist of 8 to 12 papers. Each paper must have the title, authors with e-mails/web sites, and as detailed an abstract as possible. The special session organizer(s) contact information should also be included. All special session organizers must obtain firm commitments from their special session presenters and authors to submit papers in a timely fashion (if the special session is accepted) and, particularly, present them at the ICIC 2025. Each special session organizer will be session chair for their own special sessions at ICIC 2025 accordingly. All planned papers for special sessions will undergo the same review process as the ones in regular sessions. All accepted papers for special sessions will also be published by Springer's Lecture Notes in Computer Sciences (LNCS)/ Lecture Notes in Artificial Intelligence (LNAI)/ Lecture Notes in Bioinformatics (LNBI).
All the authors for each special session must follow the guidelines in CALL FOR PAPERS to prepare your submitted papers.
Proposals for special sessions should be submitted in ELECTRONIC FORMAT by http://www.icai.org.cn/icg/index.php at Special Session.

orders	Title	Organizers	Nationality
Special Session 1	Federated and Edge Intelligence for Smart Energy Systems	Pampa Sinha Snehalika	India

1. Federated and Edge Intelligence for Smart Energy Systems

Organizer:
Pampa Sinha
KIIT Deemed to be University
Email: pampa.sinhafel@kiit.ac.in
Snehalika
KIIT Deemed to be University

Email: snehalika.fel@kiit.ac.in

Scope and Topics:
The increasing complexity of smart energy systems—integrating renewables, electric vehicles, IoT devices, and demand-side management—demands distributed, intelligent, and privacy-preserving control mechanisms. This Special Session aims to explore federated learning, edge AI, and real-time adaptive analytics for building resilient, secure, and efficient energy systems.
This session will serve as a hub for discussing:
- Decentralized AI algorithms for forecasting, fault diagnosis, and energy optimization
- Lightweight, secure intelligence for edge nodes in microgrids
- Federated learning for privacy-preserving power system applications
- Cybersecurity in distributed energy systems
- Hardware-aware implementations (e.g., FPGA, neuromorphic chips) for real-time inference

Topics of Interest:
- Federated learning architectures for smart grids
- Edge AI deployment in energy forecasting and control
- Adaptive decomposition methods for distributed PQ monitoring
- Trust-based data fusion and entropy-driven fault diagnostics
- Transfer learning for cross-domain energy system modeling
- Cyber-physical intrusion detection using decentralized ML
- Quantum-inspired and neuromorphic AI in power systems
- Signal processing at the edge: AQWT, EMD, NSCT-based frameworks
- Smart EV charging and load forecasting using edge intelligence
- Hardware-in-the-loop (HIL) AI deployment for real-time grid diagnostics
- Secure and resilient communication protocols for federated control
- Explainable and transparent AI models for critical infrastructure

Expected Audience:
Researchers, academicians, practitioners, and policy-makers working in AI, energy systems, edge computing, smart grid technologies, cybersecurity, and sustainable electrification.

Expected Outcome:
This session expects 10–20 high-quality submissions focusing on distributed AI models and intelligent control for energy systems. All accepted papers will be peer-reviewed and published in SCI, EI, and ISTP-indexed proceedings of ICAI 2025. Selected extended papers may be invited for SCI-indexed journal special issues post-conference.