This paper proposes and studies for the first time the problem of combinatorial multi-armed
bandits with linear long-term constraints. Our model generalizes and unifies several …

We consider the task scheduling scenario where the controller activates one from K task
types at each time. Each task induces a random completion time, and a reward is obtained …

We consider a hierarchical inference system with multiple clients connected to a server via a
shared communication resource. When necessary, clients with low-accuracy machine …

E dge I ntelligence (EI), a burgeoning research area, motivates App vendors to cache data
replicas on geographically distributed edge servers to deliver better services. On the …

We consider the task scheduling scenario where the controller activates one from task types
at each time. Each task induces a random completion time, and a reward is obtained only …

Online resource allocation problem with budget constraints has a wide range of applications
in network science and operation research. In this problem, the decision maker needs to …

Supported by cloud computing, F ederated L earning (FL) has experienced rapid
advancement, as a promising technique to motivate clients to collaboratively train models …

Networking and Artificial Intelligence (AI) are two of the most transformative information
technologies over the last few decades. Building upon the synergies of these two powerful …