2
results found
This study introduces an innovative methodological framework for AI-driven talent chain management, addressing key challenges in workforce optimization, collaboration dynamics, and innovation assessme...
AI-driven Talent Management
Multi-agent Systems
Workforce Optimization
Collaboration Dynamics Forecasting
Uncertainty-aware Innovation Evaluation
Federated learning has emerged as the dominant paradigm for privacy-preserving intrusion detection across distributed networks, yet its vulnerability to adversarial manipulation of the training proces...
Federated learning
Intrusion detection
Non-IID heterogeneity
Byzantine resilience
Adversarial machine learning
Multi-agent systems
Non-stationary distribution attack
SinoXiv