Federated learning enables distributed learning in a privacy-protected manner, but two
challenging reasons can affect learning performance significantly. First, mobile users are not …

The multiple knapsack problem (MKP) is a natural and well-known generalization of the
single knapsack problem and is defined as follows. We are given a set of n items and m bins …

Existing routing algorithms for Delay Tolerant Networks (DTNs) assume that nodes are
willing to forward packets for others. In the real world, however, most people are socially …

Federated learning enables distributed model training over various computing nodes, eg,
mobile devices, where instead of sharing raw user data, computing nodes can solely commit …

We present a simple family of algorithms for solving the Generalized Assignment Problem
(GAP). Our technique is based on a novel combinatorial translation of any algorithm for the …

This paper presents an improved fruit fly optimization algorithm (IFFOA) for solving the
multidimensional knapsack problem (MKP). In IFFOA, the parallel search is employed to …

The battery-powered Unmanned Aerial Vehicle (UAV) is a promising alternative to
traditional logistics trucks. Using UAVs can achieve much more speedy, cost-effective, and …

We present an overview of NP-hard problems and methods related to deployment, resource
sharing, load balancing and fairness among multiple users in 5G mobile networks. We …

In multiaccess edge computing (MEC), tasks are offloaded from mobile devices to servers at
the edge of the network. This speeds up task processing without incurring the latency …

We consider the problem of maximizing a nondecreasing submodular set function over
various constraint structures. Specifically, we explore the performance of the greedy …