Yuval Friedman

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

dblp:298/1846 · DBLP profile ↗

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1ranked-venue papers

0as first author

1since 2021 · last 2022

0000-0002-2363-030XORCID · reported

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		Optimization for machine learning · 100%
Computer architecture, parallel and distributed computing, and storage systems 1 paper		Distributed systems · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

Topic	Weight	Papers	Last	Evidence papers
Machine learning › Optimization for machine learning › gradient-based optimization › gradient descent accelerated gradient descent	0.6	1	2022	Accelerated Gradient Descent Learning Over Multiple Access Fading Channels · IEEE J. Sel. Areas Commun. 2022
Machine learning › Optimization for machine learning › gradient-based optimization gradient descent	0.6	1	2022	Accelerated Gradient Descent Learning Over Multiple Access Fading Channels · IEEE J. Sel. Areas Commun. 2022
Distributed systems distributed machine learning	0.2	1	2022	Accelerated Gradient Descent Learning Over Multiple Access Fading Channels · IEEE J. Sel. Areas Commun. 2022
Distributed systems › distributed machine learning over-the-air computation	0.2	1	2022	Accelerated Gradient Descent Learning Over Multiple Access Fading Channels · IEEE J. Sel. Areas Commun. 2022

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

convergence analysis · 1.1

Year	Publication	Venue	Position
2022	Accelerated Gradient Descent Learning Over Multiple Access Fading Channels Raz Paul, Yuval Friedman, Kobi Cohen	IEEE J. Sel. Areas Commun.	2