Handbook of Trustworthy Federated Learning (Springer Optimization and Its Applications)

Communication Efficient Federated Learning for Wireless Networks

Springer

Cross-device Federated Recommendation: Privacy-Preserving Personalization (Machine Learning: Foundations, Methodologies, and Applications)

Machine Learning and Optimization for Engineering Design (Engineering Optimization: Methods and Applications)

Springer Handbook of Internet of Things

Springer

Explainable Artificial Intelligence for Trustworthy Decisions in Smart Applications

Deep Learning and Practice with MindSpore (Cognitive Intelligence and Robotics)

Springer

Machine Learning in Educational Sciences: Approaches, Applications and Advances

Truss Optimization: A Metaheuristic Optimization Approach

Springer

Springer - Federated Learning: Fundamentals and Advances Book

Springer

Feature and Dimensionality Reduction for Clustering with Deep Learning (Unsupervised and Semi-Supervised Learning)

Deep Learning in Wireless Communications

Springer

Optimization Methods and Algorithms

Springer

Topic Modeling: Advanced Techniques and Applications (Machine Learning: Foundations, Methodologies, and Applications)

Advanced Machine Learning with Evolutionary and Metaheuristic Techniques (Computational Intelligence Methods and Applications)

Hesitant Fuzzy Set: Theory and Extension (Computational Intelligence Methods and Applications)

Springer

Attacks, Defenses and Testing for Deep Learning

Springer - Trustworthy Machine Learning under Imperfect Data

Springer

Natural Language Understanding in Conversational AI with Deep Learning

Frontiers in Nature-Inspired Industrial Optimization (Springer Tracts in Nature-Inspired Computing)

Unsupervised Domain Adaptation: Recent Advances and Future Perspectives (Machine Learning: Foundations, Methodologies, and Applications)

Finance and Large Language Models (Blockchain Technologies)

Handbook on Federated Learning: Advances, Applications and Opportunities

CRC Press

Generalized Matrix Inversion: A Machine Learning Approach

Trustworthy AI Systems: Engineering Secure, Scalable, and Responsible Intelligence for Real Applications

Springer