CyberC 2025 (International Conference on Network-based Distributed Computing and Knowledge Discovery) is an academic conference held in Taiyuan, China on 2025-10-17. The paper submission deadline is 2025-07-30 (extended).
CyberC – International Conference on Cyber-enabled distributed computing and knowledge discovery – is to promote research and collaboration on the cyber-related technology.
Paper submission: EDAS (https://edas.info/N33626) or Send PDF to Papers@cyberc.org
Submission due date: May 31, 2025
CyberC promotes the research areas covered by the following tracks:
Track 1: AI Computing
Machine Learning, Deep Learning, Autonomy, and Intelligence
Supervised, Unsupervised, and Reinforcement Learning
Deep Learning Architectures (CNNs, RNNs, Transformers, GANs)
Explainable AI (XAI) and Trustworthy AI
Meta-Learning, Few-Shot Learning, and Self-Supervised Learning
AI Fairness, Ethics, and Bias Mitigation
Large Language Models (LLMs) and Multimodal AI
Text Generation, Summarization, and Machine Translation
Sentiment Analysis and Opinion Mining
Conversational AI and Chatbots
Information Retrieval and Knowledge Graphs
AI/ML for Robotics & Autonomous Systems
AI/ML Applications in Science & Industry
AI/ML for Data analytics, social media, and web mining
AI for Web computing, intelligent and knowledge based systems
Track 2: Cyber Communications
Next-Generation Wireless Networks (5G, 6G, and Beyond)
Massive MIMO, Beamforming, and Millimeter-Wave Technologies
AI/ML for Wireless Communication and Network Optimization
Terahertz (THz) Communication and Free-Space Optics
Sensor, IoT Connectivity and Communication Protocols
Edge, Fog Computing, and Cloud Computing
Low-Power Wide-Area Networks (LPWAN) and Ultra-Reliable Low-Latency Communication (URLLC)
AI-Enabled Software/Cognitive Radio Networks
Vehicular, UAV, and Satellite Communications
Wireless Sensing, Localization, and Positioning
Green & Sustainable Wireless Networks
Quantum communications, and network computing resources
Quantum Computing
Spectrum sensing, fusion, decision-making and allocation
Signaling process, PHY/link layer protocols and optimization
Track 3: Computer Vision
Image Classification, Object Detection, and Segmentation
3D Reconstruction and Scene Understanding
Video Analysis and Action Recognition
Image and Video Synthesis (GANs, Diffusion Models)
Multimodal Learning and Vision-Language Models
Transformer Models for Vision (ViTs, Swin, DINO)
Self-Supervised and Few-Shot Learning for Vision
Explainable AI (XAI) for Vision Applications
Adversarial Robustness in Deep Vision Models
AI in Medical Imaging and Radiology
Image-Guided Surgery and Diagnostics
Remote Sensing and Geospatial Vision Applications
Vision for Autonomous Vehicles and UAVs
SLAM (Simultaneous Localization and Mapping)
Human-Robot Interaction and Assistive Vision
AI for Image Enhancement and Super-Resolution
Deepfake Detection and Synthetic Media Analysis
Computational Imaging and Light Field Processing
Augmented reality and virtual reality
Multispectral, and hyperspectral imaging
Track 4: Security and Privacy
Network and System Security
AI-Powered Cyber Threat Detection & Response
Malware Analysis and Intrusion Detection
Zero-Trust Architecture and Adaptive Security
Differential Privacy and Federated Learning
Secure Multi-Party Computation and Homomorphic Encryption
Blockchain and Decentralized Privacy Models
Data Anonymization and De-Identification
Cryptographic Protocols and Key Management
Secure Cloud Computing and Storage
Secure Authentication and Access Control
Adversarial Machine Learning and AI Robustness
AI for Cyber Threat Intelligence and Incident Response
Deepfake and Synthetic Media Detection
AI Governance, Ethics, and Fairness in Security
Quantum Security and Cryptanalysis
Privacy in Metaverse and Extended Reality (XR)
Secure AI and Privacy-Preserving Generative Models