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Machine Learning With Computer Networks: Techniques, Datasets, and Models
by
Afifi, Haitham
,
Pochaba, Sabrina
,
Boltres, Andreas
,
Laniewski, Dominic
,
Haberer, Janek
,
Paeleke, Leonard
,
Poorzare, Reza
,
Stolpmann, Daniel
,
Wehner, Nikolas
,
Redder, Adrian
,
Samikwa, Eric
,
Seufert, Michael
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IEEE access
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ARES: Adaptive Resource-Aware Split Learning for Internet of Things
by
Samikwa, Eric
,
Maio, Antonio Di
,
Braun, Torsten
Published in
Computer networks (Amsterdam, Netherlands : 1999)
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DFL: Dynamic Federated Split Learning in Heterogeneous IoT
by
Samikwa, Eric
,
Di Maio, Antonio
,
Braun, Torsten
Published in
IEEE transactions on machine learning in communications and networking
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DISNET: Distributed Micro-Split Deep Learning in Heterogeneous Dynamic IoT
by
Samikwa, Eric
,
Maio, Antonio Di
,
Braun, Torsten
Published in
IEEE internet of things journal
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Adaptive Early Exit of Computation for Energy-Efficient and Low-Latency Machine Learning over IoT Networks
by
Samikwa, Eric
,
Di Maio, Antonio
,
Braun, Torsten
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Conference Proceeding
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CSTAR-FL: Stochastic Client Selection for Tree All-Reduce Federated Learning
by
Xu, Zimu
,
Maio, Antonio Di
,
Samikwa, Eric
,
Braun, Torsten
Published in
IEEE transactions on mobile computing
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