VLDB 2026 Research / reviewers in the wild / expert
Andrei Afonin
dblp:289/6935
· DBLP profile ↗
3ranked-venue papers
2as first author
3since 2021 · last 2023
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 3 · 2 first-author · 3 since 2021Databases, data management, data science and information retrieval · 2 · 1 first-author · 2 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 · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Efficient and distributed learning
federated learning |
0.6 | 1 | 2022 | Towards Model Agnostic Federated Learning Using Knowledge Distillation · ICLR 2022 |
Machine learning › Efficient and distributed learning › model compression
knowledge distillation |
0.6 | 1 | 2022 | Towards Model Agnostic Federated Learning Using Knowledge Distillation · ICLR 2022 |
Machine learning › Efficient and distributed learning › federated learning
model-agnostic federated learning |
0.6 | 1 | 2022 | Towards Model Agnostic Federated Learning Using Knowledge Distillation · ICLR 2022 |
Methods — techniques the papers use, named apart from their topics
knowledge distillation · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Sampling and Ranking for Digital Ink Generation on a Tight Computational Budget
Andrei Afonin, Andrii Maksai, Aleksandr Timofeev, Claudiu Cristian Musat |
ICDAR (4) | 1 |
| 2023 | DSS: Synthesizing Long Digital Ink Using Data Augmentation, Style Encoding and Split Generation
Aleksandr Timofeev, Anastasiia Fadeeva, Andrei Afonin, Claudiu Cristian Musat, Andrii Maksai |
ICDAR (4) | 3 |
| 2022 | Towards Model Agnostic Federated Learning Using Knowledge Distillation
Andrei Afonin, Sai Praneeth Karimireddy |
ICLR | 1 |