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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"

13 / 13 papers shown
A Survey on Cloud-Edge-Terminal Collaborative Intelligence in AIoT Networks
A Survey on Cloud-Edge-Terminal Collaborative Intelligence in AIoT Networks
Jiaqi Wu
Jing Liu
Yang Liu
Lixu Wang
Z. Wang
Wei Chen
Zijian Tian
Richard Yu
Victor C.M. Leung
168
6
0
26 Aug 2025
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
316
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
205
2
0
23 Apr 2024
Unsupervised Deep Learning for IoT Time Series
Unsupervised Deep Learning for IoT Time SeriesIEEE Internet of Things Journal (IEEE IoT J.), 2023
Ya Liu
Ying Zhou
Kai Yang
Xiao Wang
AI4TS
533
60
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 computingIEEE Transactions on Vehicular Technology (IEEE Trans. Veh. Technol.), 2022
Byungjin Cho
Yu Xiao
209
4
0
03 Sep 2022
Learning-based decentralized offloading decision making in an
  adversarial environment
Learning-based decentralized offloading decision making in an adversarial environmentIEEE Transactions on Vehicular Technology (IEEE Trans. Veh. Technol.), 2021
Byungjin Cho
Yu Xiao
347
22
0
26 Apr 2021
Stochastic Compositional Gradient Descent under Compositional
  Constraints
Stochastic Compositional Gradient Descent under Compositional ConstraintsIEEE Transactions on Signal Processing (TSP), 2020
Srujan Teja Thomdapu
Harsh Vardhan
K. Rajawat
524
23
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
406
507
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 IssuesIEEE Access (IEEE Access), 2020
Leila Sedghi
Zohaib Ijaz
Md. Noor-A.-Rahim
K. Witheephanich
Dirk Pesch
AI4CE
280
21
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
166
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
Jianchao Tan
G. Giannakis
Tamer Basar
OffRL
199
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
Jianchao Tan
Yang Liu
Ji Liu
M. Liu
Tamer Basar
FedML
193
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
373
323
0
25 May 2018
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