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X Demographics
Mendeley readers
Title |
Lyapunov-Based Optimization of Edge Resources for Energy-Efficient Adaptive Federated Learning
|
---|---|
Published in |
IEEE Transactions on Green Communications and Networking, June 2022
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DOI | 10.1109/tgcn.2022.3186879 |
Authors |
Claudio Battiloro, Paolo Di Lorenzo, Mattia Merluzzi, Sergio Barbarossa |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Finland | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 10 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 1 | 10% |
Student > Doctoral Student | 1 | 10% |
Student > Master | 1 | 10% |
Unknown | 7 | 70% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 3 | 30% |
Unknown | 7 | 70% |