Device sampling for heterogeneous federated learning: Theory, algorithms, and implementation
The conventional federated learning (FedL) architecture distributes machine learning (ML)
across worker devices by having them train local models that are periodically aggregated by …
across worker devices by having them train local models that are periodically aggregated by …
{Information-Agnostic} flow scheduling for commodity data centers
Many existing data center network (DCN) flow scheduling schemes minimize flow
completion times (FCT) based on prior knowledge of flows and custom switch functions …
completion times (FCT) based on prior knowledge of flows and custom switch functions …
Joint MIMO precoding and computation resource allocation for dual-function radar and communication systems with mobile edge computing
In this paper, an integrated communication, radar sensing, and mobile-edge computing
(CRMEC) architecture is developed, where user terminals (UTs) perform radar sensing and …
(CRMEC) architecture is developed, where user terminals (UTs) perform radar sensing and …
On the age of information in a CSMA environment
In this paper, we investigate a network where N links contend for the channel using the well-
known carrier sense multiple access scheme. By leveraging the notion of stochastic hybrid …
known carrier sense multiple access scheme. By leveraging the notion of stochastic hybrid …
[图书][B] Generalized convexity and optimization: Theory and applications
A Cambini, L Martein - 2008 - books.google.com
Page 1 616 LECTURE NOTES IN ECONOMICS AND MATHEMATICAL SYSTEMS Alberto
Cambini Laura Martein Generalized Convexity and Optimization Theory and Applications Springer …
Cambini Laura Martein Generalized Convexity and Optimization Theory and Applications Springer …
[图书][B] Global optimization: theory, algorithms, and applications
M Locatelli, F Schoen - 2013 - SIAM
The first systematic overviews on global optimization appeared in 1975–1978 thanks to two
fundamental volumes titled Towards Global Optimization (Dixon & Szegö, 1975, 1978). At …
fundamental volumes titled Towards Global Optimization (Dixon & Szegö, 1975, 1978). At …
Last-mile delivery: Optimal locker location under multinomial logit choice model
One innovative solution to the last-mile delivery problem is the self-service locker system.
Motivated by a real case in Singapore, we consider a POP-Locker Alliance who operates a …
Motivated by a real case in Singapore, we consider a POP-Locker Alliance who operates a …
Optimal decisions from probabilistic models: the intersection-over-union case
S Nowozin - Proceedings of the IEEE conference on …, 2014 - openaccess.thecvf.com
A probabilistic model allows us to reason about the world and make statistically optimal
decisions using Bayesian decision theory. However, in practice the intractability of the …
decisions using Bayesian decision theory. However, in practice the intractability of the …
[PDF][PDF] Recent developments in fractional programming: single-ratio and max-min case
S Schaible, J Shi - Nonlinear analysis and convex analysis, 2004 - academia.edu
We review some recent developments in single-ratio and generalized fractional
programming. In the latter case we focus on the maximization of the smallest of several …
programming. In the latter case we focus on the maximization of the smallest of several …
An approximate dynamic programming approach to network revenue management with customer choice
We consider a network revenue management problem where customers choose among
open fare products according to some prespecified choice model. Starting with a Markov …
open fare products according to some prespecified choice model. Starting with a Markov …