4 papers
Pay to Learn, Share to Earn: Incentivized Federated Multi-Player Bandits
Pavamana K J, Chandramani Singh
Federated multi-player multi-armed bandit problems model collaborative sequential decision-making where multiple players interact with a common bandit environment and share informa…
Recommenadation aided Caching using Combinatorial Multi-armed Bandits
Pavamana K J, Chandramani Kishore Singh
We study content caching with recommendations in a wireless network where the users are connected through a base station equipped with a finite-capacity cache. We assume a fixed se…
Caching Contents with Varying Popularity using Restless Bandits
Pavamana K J, Chandramani Singh
We study content caching in a wireless network in which the users are connected through a base station that is equipped with a finite-capacity cache. We assume a fixed set of conte…
Caching Contents with Varying Popularity using Restless Bandits
Pavamana K J, Chandramani Kishore Singh
Mobile networks are experiencing prodigious increase in data volume and user density , which exerts a great burden on mobile core networks and backhaul links. An efficient techniqu…