Federated learning (FL) is a decentralized learning framework wherein a
...
Caching can be leveraged to significantly improve network performance an...
Collaborative edge computing (CEC) is an emerging paradigm where
heterog...
Collaborative edge computing (CEC) is an emerging paradigm where
heterog...
Significant advances in edge computing capabilities enable learning to o...
The mean squared error loss is widely used in many applications, includi...
We introduce the problem of optimal congestion control in cache networks...
Caching networks can reduce the routing costs of accessing contents by
c...
We propose a decentralized spatial soft-core cache placement (SSCC) poli...
We study networks of M/M/1 queues in which nodes act as caches that stor...
Recently, physical layer (PHY) caching has been proposed to exploit the
...
Motivated by applications to delivery of dynamically updated, but correl...
We present a new unified framework for minimizing congestion-dependent
n...