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Demo Data from VLDB 2026 / reviewers in the wild / expert

Felix Owino

dblp:427/9733 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Efficient and distributed learning · 67% Deep learning architectures and training · 33%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Deep learning architectures and training › loss function design
auxiliary loss		 1.012026
Decoupled Split Learning via Auxiliary Loss · INFOCOM 2026
Machine learning › Efficient and distributed learning
distributed training		 1.012026
Decoupled Split Learning via Auxiliary Loss · INFOCOM 2026
Machine learning › Efficient and distributed learning › distributed training › distributed DNN training
split learning		 1.012026
Decoupled Split Learning via Auxiliary Loss · INFOCOM 2026

Methods — techniques the papers use, named apart from their topics

decoupled training · 1.0auxiliary loss · 1.0
YearPublicationVenuePosition
2026 Decoupled Split Learning via Auxiliary Loss
Anower Zihad, Felix Owino, Ming Tang 0006, Chao Huang 0028
 INFOCOM2