CONTENT
PART 1 BASICS OF INFERENCE OVER NETWORKS
CHAPTER 1 Asynchronous Adaptive Networks
CHAPTER 2 Estimation and Detection Over Adaptive Networks
CHAPTER 3 Multitask Learning Over Adaptive Networks With Grouping
CHAPTER 4 Bayesian Approach to Collaborative Inference in Networks
CHAPTER 5 Multiagent Distributed Optimization
CHAPTER 6 Distributed Kalman and Particle Filtering
CHAPTER 7 Game Theoretic Learning
PART 2 SIGNAL PROCESSING ON GRAPHS
CHAPTER 8 Graph Signal Processing .
CHAPTER 9Sampling and Recovery of Graph Signals
CHAPTER 10 Bayesian Active learning on Graphs .
CHAPTER 1 1 Design of Graph Filters and Filterbanks
CHAPTER 12 Statistical Graph Signal Processing: Stationarity and
Spectral Estimation
CHAPTER 1 3 Inference of Graph Topology
CHAPTER 14 Partially Absorbing Ranclom Walks: A Unifiecl Framework for Learning on Graphs
PART 3 DISTRIBUTED COMMUNICATIONS, NETWORKING,
AND SENSING
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2019-12-21 18:56:45
27.96MB
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