We study joint downlink-uplink beamforming design for wireless federated...
Large datasets in machine learning often contain missing data, which
nec...
Federated Learning (FL) with over-the-air computation is susceptible to
...
We consider an ultra-low-complexity multi-group multicast beamforming de...
The performance of online convex optimization algorithms in a dynamic
en...
The strong interference suffered by users can be a severe problem in
cac...
We consider online wireless network virtualization (WNV) in a multi-cell...
We consider distributed online min-max resource allocation with a set of...
We consider the problem of distributed online optimization, with a group...
We propose a first-order fast algorithm for the weighted max-min fair (M...
We consider online convex optimization (OCO) over a heterogeneous networ...
We investigate how massive MIMO impacts the uplink transmission design i...
We consider online convex optimization (OCO) with multi-slot feedback de...
We consider online coordinated precoding design for downlink wireless ne...
Network traffic classification using machine learning techniques has bee...
This paper presents a new virtualization method for the downlink of a
mu...
In many dynamic systems, such as wireless communications, decisions on s...
While momentum-based methods, in conjunction with stochastic gradient de...
In this work, we consider a multi-user mobile edge computing system with...
By acquiring cloud-like capacities at the edge of a network, edge comput...
While momentum-based methods, in conjunction with the stochastic gradien...
We consider a general multi-user Mobile Cloud Computing (MCC) system whe...
We consider a mobile cloud computing system with multiple users, a remot...