Series: Synthesis Lectures on Learning, Networks, and Algorithms

Embracing Risk

Online Capacity Provisioning for Energy-Efficient Datacenters

Reinforcement Learning in the Ridesharing Marketplace

An Introduction to Cellular Network Analysis Using Stochastic Geometry

Continual and Reinforcement Learning for Edge AI

Age of Information

Reinforcement Learning in the Ridesharing Marketplace

Scheduling and Congestion Control for Wireless and Processing Networks

Edge Intelligence in the Making

Stochastic Network Optimization with Application to Communication and Queueing Systems

BATS Codes

Energy-Efficient Scheduling under Delay Constraints for Wireless Networks

Learning for Decision and Control in Stochastic Networks

Internet Transport Economics

Internet Transport Economics

A Primer on Physical-Layer Network Coding

NS Simulator for Beginners

Performance Modeling, Stochastic Networks, and Statistical Multiplexing, Second Edition

Learning for Decision and Control in Stochastic Networks

Ai Versus Epidemics

Optimization Algorithms for Distributed Machine Learning

Communication Networks

Modeling and Optimization in Software-Defined Networks

Packets with Deadlines

Performance Modeling of Communication Networks with Markov Chains

Poisson Line Cox Process

Network Games

Diffusion Source Localization in Large Networks

Network Simulation

Analytical Methods for Network Congestion Control

Wireless Network Pricing

Sharing Network Resources

Path Problems in Networks

Network Connectivity

Multi-Armed Bandits

Advances in Multi-Channel Resource Allocation

An Introduction to Cellular Network Analysis Using Stochastic Geometry

Continual and Reinforcement Learning for Edge Ai

An Introduction to Models of Online Peer-to-Peer Social Networking

Edge Intelligence in the Making