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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
ArXivPDFHTML

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

7 / 7 papers shown
Title
Unsupervised Deep Learning for IoT Time Series
Unsupervised Deep Learning for IoT Time Series
Ya Liu
Ying Zhou
Kai Yang
Xiao Wang
AI4TS
49
34
0
07 Feb 2023
Stochastic Compositional Gradient Descent under Compositional
  Constraints
Stochastic Compositional Gradient Descent under Compositional Constraints
Srujan Teja Thomdapu
Harsh Vardhan
K. Rajawat
29
12
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
28
387
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
36
15
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
23
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
29
41
0
07 Dec 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
34
297
0
25 May 2018
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