research
∙
06/28/2023
Federated Deep Reinforcement Learning-based Bitrate Adaptation for Dynamic Adaptive Streaming over HTTP
In video streaming over HTTP, the bitrate adaptation selects the quality...
share
research
∙
12/23/2022
Federated PCA on Grassmann Manifold for Anomaly Detection in IoT Networks
In the era of Internet of Things (IoT), network-wide anomaly detection i...
research
∙
06/03/2022
On the Generalization of Wasserstein Robust Federated Learning
In federated learning, participating clients typically possess non-i.i.d...
research
∙
01/21/2022
Seamless and Energy Efficient Maritime Coverage in Coordinated 6G Space-Air-Sea Non-Terrestrial Networks
Non-terrestrial networks (NTNs), which integrate space and aerial networ...
research
∙
07/20/2021
Self-Driving Cars and Driver Alertness
Recent years have seen growing interest in the development of self-drivi...
research
∙
02/14/2021
FedU: A Unified Framework for Federated Multi-Task Learning with Laplacian Regularization
Federated multi-task learning (FMTL) has emerged as a natural choice to ...
research
∙
12/10/2020
DONE: Distributed Newton-type Method for Federated Edge Learning
There is growing interest in applying distributed machine learning to ed...
research
∙
11/25/2020
Toward Multiple Federated Learning Services Resource Sharing in Mobile Edge Networks
Federated Learning is a new learning scheme for collaborative training a...
research
∙
09/18/2020
Federated Learning with Nesterov Accelerated Gradient Momentum Method
Federated learning (FL) is a fast-developing technique that allows multi...
research
∙
09/04/2020
User Selection Approaches to Mitigate the Straggler Effect for Federated Learning on Cell-Free Massive MIMO Networks
This work proposes UE selection approaches to mitigate the straggler eff...
research
∙
06/16/2020
Personalized Federated Learning with Moreau Envelopes
Federated learning (FL) is a decentralized and privacy-preserving machin...
research
∙
04/28/2020
Deep Conversational Recommender Systems: A New Frontier for Goal-Oriented Dialogue Systems
In recent years, the emerging topics of recommender systems that take ad...
research
∙
03/10/2020
Coexistence Mechanism between eMBB and uRLLC in 5G Wireless Networks
uRLLC and eMBB are two influential services of the emerging 5G cellular ...
research
∙
02/21/2020
Data Freshness and Energy-Efficient UAV Navigation Optimization: A Deep Reinforcement Learning Approach
In this paper, we design a navigation policy for multiple unmanned aeria...
research
∙
02/20/2020
Multi-Agent Meta-Reinforcement Learning for Self-Powered and Sustainable Edge Computing Systems
The stringent requirements of mobile edge computing (MEC) applications a...
research
∙
11/06/2019
Federated Learning for Edge Networks: Resource Optimization and Incentive Mechanism
Recent years have witnessed a rapid proliferation of smart Internet of T...
research
∙
11/04/2019
A Crowdsourcing Framework for On-Device Federated Learning
Federated learning (FL) rests on the notion of training a global model i...
research
∙
10/29/2019
Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation
There is an increasing interest in a fast-growing machine learning techn...
research
∙
09/27/2019
Cell-Free Massive MIMO for Wireless Federated Learning
This paper proposes using cell-free massive multiple-input multiple-outp...
research
∙
09/11/2019
Edge Computing Enabled Smart Cities: A Comprehensive Survey
Recent years have disclosed a remarkable proliferation of compute-intens...
research
∙
07/04/2019
Wireless Network Slicing: Generalized Kelly Mechanism Based Resource Allocation
Wireless network slicing (i.e., network virtualization) is one of the po...
research
∙
02/05/2019
eMBB-URLLC Resource Slicing: A Risk-Sensitive Approach
Ultra Reliable Low Latency Communication (URLLC) is a 5G New Radio (NR) ...
research
∙
12/25/2018
Deep Autoencoder for Recommender Systems: Parameter Influence Analysis
Recommender systems have recently attracted many researchers in the deep...
research
∙
12/11/2018
Ruin Theory for Dynamic Spectrum Allocation in LTE-U Networks
LTE in the unlicensed band (LTE-U) is a promising solution to overcome t...
research
∙
10/03/2018
Deep Learning Based Caching for Self-Driving Car in Multi-access Edge Computing
Once self-driving car becomes a reality and passengers are no longer wor...
research
∙
03/30/2018
Joint Communication, Computation, Caching, and Control in Big Data Multi-access Edge Computing
The concept of multi-access edge computing (MEC) has been recently intro...
research
∙
03/02/2018
