Cooperative and Graph Signal Processing

<p>PART 1 BASICS OF INFERENCE OVER NETWORKS<br>1. Asynchronous Adaptive Networks<br>2. Estimation and Detection Over Adaptive Networks<br>3. Multitask Learning Over Adaptive Networks With Grouping Strategies<br>4. Bayesian Approach to Collaborative Inference in Networks of Agents<br>5. Multiagent Distributed Optimization<br>6. Distributed Kalman and Particle Filtering<br>7. Game Theoretic Learning</p> <p>PART 2 SIGNAL PROCESSING ON GRAPHS<br>8. Graph Signal Processing<br>9. Sampling and Recovery of Graph Signals<br>10. Bayesian Active Learning on Graphs<br>11. Design of Graph Filters and Filterbanks<br>12. Statistical Graph Signal Processing: Stationarity and Spectral Estimation<br>13. Inference of Graph Topology<br>14. Partially Absorbing Random Walks: A Unified Framework for Learning on Graphs</p> <p>PART 3 DISTRIBUTED COMMUNICATIONS, NETWORKING, AND SENSING<br>15. Methods for Decentralized Signal Processing With Big Data<br>16. The Edge Cloud: A Holistic View of Communication, Computation, and Caching<br>17. Applications of Graph Connectivity to Network Security<br>18. Team Methods for Device Cooperation in Wireless Networks<br>19. Cooperative Data Exchange in Broadcast Networks<br>20. Collaborative Spectrum Sensing in the Presence of Byzantine Attack</p> <p>PART 4 SOCIAL NETWORKS<br>21. Dynamics of Information Diffusion and Social Sensing<br>22. Active Sensing of Social Networks: Network Identification From Low-Rank Data<br>23. Dynamic Social Networks: Search and Data Routing<br>24. Information Diffusion and Rumor Spreading<br>25. Multilayer Social Networks<br>26. Multiagent Systems: Learning, Strategic Behavior, Cooperation, and Network Formation</p> <p>PART 5 APPLICATIONS<br>27. Genomics and Systems Biology<br>28. Diffusion Augmented Complex Extended Kalman Filtering for Adaptive Frequency Estimation in Distributed Power Networks<br>29. Beacons and the City: Smart Internet of Things<br>30. Big Data<br>31. Graph Signal Processing on Neuronal Networks</p>