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Learning and Management for Internet-of-Things: Accounting for
  Adaptivity and Scalability

Learning and Management for Internet-of-Things: Accounting for Adaptivity and Scalability

27 October 2018
Tianyi Chen
Sergio Barbarossa
Xin Wang
G. Giannakis
Zhi-Li Zhang
ArXiv (abs)PDFHTML

Papers citing "Learning and Management for Internet-of-Things: Accounting for Adaptivity and Scalability"

12 / 12 papers shown
Title
Hybrid Real- and Complex-valued Neural Network Architecture
Hybrid Real- and Complex-valued Neural Network Architecture
Alex Young
L. V. Fiorio
Bo Yang
B. Karanov
Wim J. van Houtum
Ronald M. Aarts
81
0
0
04 Apr 2025
FLARE: A New Federated Learning Framework with Adjustable Learning Rates
  over Resource-Constrained Wireless Networks
FLARE: A New Federated Learning Framework with Adjustable Learning Rates over Resource-Constrained Wireless Networks
Bingnan Xiao
Jingjing Zhang
Wei Ni
Xin Eric Wang
55
0
0
23 Apr 2024
Unsupervised Deep Learning for IoT Time Series
Unsupervised Deep Learning for IoT Time Series
Ya Liu
Ying Zhou
Kai Yang
Xiao Wang
AI4TS
106
36
0
07 Feb 2023
A repeated unknown game: Decentralized task offloading in vehicular fog
  computing
A repeated unknown game: Decentralized task offloading in vehicular fog computing
Byungjin Cho
Yu Xiao
23
1
0
03 Sep 2022
Learning-based decentralized offloading decision making in an
  adversarial environment
Learning-based decentralized offloading decision making in an adversarial environment
Byungjin Cho
Yu Xiao
16
18
0
26 Apr 2021
Stochastic Compositional Gradient Descent under Compositional
  Constraints
Stochastic Compositional Gradient Descent under Compositional Constraints
Srujan Teja Thomdapu
Harsh Vardhan
K. Rajawat
80
14
0
17 Dec 2020
6G Networks: Beyond Shannon Towards Semantic and Goal-Oriented
  Communications
6G Networks: Beyond Shannon Towards Semantic and Goal-Oriented Communications
Emilio Calvanese Strinati
Sergio Barbarossa
88
397
0
04 Nov 2020
Machine Learning in Event-Triggered Control: Recent Advances and Open
  Issues
Machine Learning in Event-Triggered Control: Recent Advances and Open Issues
Leila Sedghi
Zohaib Ijaz
Md. Noor-A.-Rahim
K. Witheephanich
Dirk Pesch
AI4CE
68
16
0
27 Sep 2020
Robust Online Learning for Resource Allocation -- Beyond Euclidean
  Projection and Dynamic Fit
Robust Online Learning for Resource Allocation -- Beyond Euclidean Projection and Dynamic Fit
Ezra Tampubolon
Holger Boche
53
2
0
21 Oct 2019
Communication-Efficient Policy Gradient Methods for Distributed
  Reinforcement Learning
Communication-Efficient Policy Gradient Methods for Distributed Reinforcement Learning
Tianyi Chen
Kai Zhang
G. Giannakis
Tamer Basar
OffRL
100
41
0
07 Dec 2018
Distributed Learning of Average Belief Over Networks Using Sequential
  Observations
Distributed Learning of Average Belief Over Networks Using Sequential Observations
Kai Zhang
Yang Liu
Ji Liu
M. Liu
Tamer Basar
FedML
79
15
0
19 Nov 2018
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed
  Learning
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning
Tianyi Chen
G. Giannakis
Tao Sun
W. Yin
58
298
0
25 May 2018
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