Morgan Kaufmann Decentralized Optimization in Networks: Algorithmic Efficiency and Privacy Preservation

Morgan Kaufmann - Neural Network Algorithms and Engineering

Morgan Kaufmann

Springer - Distributed Optimization in Networked Systems Book

Springer

Advanced Intelligence Methods for Data Science and Optimization

Morgan Kaufmann

Security and Privacy in Networks and Multimedia

Morgan Kaufmann Multimodal Learning Using Heterogeneous Data

Morgan Kaufmann

Springer - Decentralized Privacy Preservation in Smart Cities

Springer

Morgan Kaufmann - Probability for Deep Learning Quantum Book

Morgan Kaufmann

Quantum Communication and Cryptography

Morgan Kaufmann

Morgan Kaufmann Applied Graph Data Science Book

Morgan Kaufmann

Bio-Inspired Computational Paradigms: Security and Privacy in Dynamic Smart Networks

Morgan Kaufmann Computational Intelligence and Blockchain Book

Morgan Kaufmann

Programming Massively Parallel Processors: A Hands-on Approach

Morgan Kaufmann

Morgan Kaufmann Fixed Point Optimization Algorithms Book

Morgan Kaufmann

Mastering Prompt Engineering: Deep Insights for Optimizing Large Language Models (LLMs)

Morgan Kaufmann

Morgan Kaufmann Human-Centered Metaverse Book

Morgan Kaufmann

Data Privacy and Cybersecurity in Mobile Crowdsensing

Morgan Kaufmann Theory of Structured Parallel Programming

Morgan Kaufmann

Data Compression for Data Mining Algorithms

Morgan Kaufmann

Energy Efficient Computation Offloading in Mobile Edge Computing (Wireless Networks)

Advanced Techniques for Modifying Metaheuristics - Morgan Kaufmann

Morgan Kaufmann

Learning-Driven Game Theory for AI: Concepts, Models, and Applications

Morgan Kaufmann

Morgan Kaufmann - Mathematical Modeling for Big Data Analytics

Morgan Kaufmann

The Governance of Artificial Intelligence

Morgan Kaufmann

Communication Efficient Federated Learning for Wireless Networks

Springer