Demo Data from EDBT 2026 / reviewers in the wild / expert
Faeze Ebrahimian
dblp:282/0507 · also Faeze Ebrahimianghazani
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 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 |
Trustworthy machine learning · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Distributed systems · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Trustworthy machine learning › robustness
byzantine robustness |
0.5 | 1 | 2021 | Byzantine-Resilient Non-Convex Stochastic Gradient Descent · ICLR 2021 |
Machine learning › Trustworthy machine learning
robustness |
0.5 | 1 | 2021 | Byzantine-Resilient Non-Convex Stochastic Gradient Descent · ICLR 2021 |
Distributed systems
distributed optimization |
0.5 | 1 | 2021 | Byzantine-Resilient Non-Convex Stochastic Gradient Descent · ICLR 2021 |
Methods — techniques the papers use, named apart from their topics
stochastic gradient descent · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Byzantine-Resilient Non-Convex Stochastic Gradient Descent
Zeyuan Allen Zhu, Faeze Ebrahimian, Jerry Li 0001, Dan Alistarh |
ICLR | 2 |