2025 International Conference on Trustworthy Big Data and Artificial Intelligence
August 21 – 23, 2025 Tokyo, japan
About ICTBAI2025
The 2025 International Conference on Trustworthy Big Data and Artificial Intelligence (ICTBAI2025) will be held in Tokyo, Japan from August 21- 23, 2025. This conference serves as a global platform for academia and industry to address cutting-edge challenges in trustworthy big data and AI, including data privacy preservation, algorithmic interpretability, ethical technology design, and secure computing. Featuring keynote speeches, technical workshops, industry case exhibitions, and collaboration sessions, ICTBAI2025 aims to foster interdisciplinary integration and practical implementation of reliable intelligent technologies. Researchers, engineers, and industry professionals are invited to submit original contributions by June 20, 2025, to jointly explore innovative solutions and sustainable development in the era of intelligent systems.
Important Dates
1
Important Date
Full Paper Submission Deadline
June 20, 2025
Notification Dates
July 25, 2025
Camera-ready Submission Deadline
August 1, 2025
Registration Deadline
August 1, 2025
Conference Dates
August 21-23, 2025
Publication
All submitted papers will be peer reviewed by 2-3 experts from the organizing committees. Accepted papers, following proper registration and presentation, will be included in the conference proceedings and submitted for indexing in EI Compendex and Scopus.
Call for Paper
Trustworthy Computing Technologies
Data Security & Privacy Preservation
Encrypted database query optimization algorithms
Performance enhancement of multi-party computation (MPC) protocols
Dynamic adaptive mechanisms for differential privacy noise injection
Verifiable Machine Learning
Gradient verifiable aggregation in federated learning
Zero-knowledge proof generation for model inference results
Quantitative robustness evaluation frameworks against adversarial samples
System Trustworthiness Assurance
Distributed training architectures based on TEE (Trusted Execution Environment)
Integrity verification chains for real-time stream data processing
Hardware-level side-channel attack defense schemes
Intelligent Systems Engineering
Industrial Automation & Embedded AI
RISC-V-based lightweight object detection chip design
Reinforcement learning policy deployment for real-time robotic arm control
ASIC acceleration for anomaly detection in Industrial IoT (IIoT)
High-Performance Computing & Communication
Low-latency transmission protocols for federated learning over 6G networks
GPU/FPGA hybrid optimization for Transformer models
Robust beamforming algorithms for UAV swarm communications
Trustworthy System Deployment Verification
Formal verification toolchain development for autonomous driving systems
Digital signature chains for edge device model updates
Joint latency-accuracy optimization in cloud-edge collaborative inference
Sponsored by
The University of Electro-Communications
