Aurélien Bellet

7.7k citations
46 papers · 3.5k · 1 hit paper · h-index 15

Impact in

    • Privacy-Preserving Technologies in Data
    • Cryptography and Data Security
    • Stochastic Gradient Optimization Techniques
    • Internet Traffic Analysis and Secure E-voting
    • Adversarial Robustness in Machine Learning

Papers in

Aurélien Bellet

40 papers receiving 3.4k citations

Aurélien Bellet's Hit Papers

Advances and Open Problems in Federated Learning 2020 · 3.0k citations
3.0k0+2+4Years since publication10002.0k3.0k

Peers

Aurélien Bellet
Comparison fields: 5 of 123
  • Artificial Intelligence 2.7k
  • Health Informatics 84
  • Computer Science Applications 261
  • Computer Networks and Communications 527
  • Information Systems 367
Replace Zhouyuan Huo with:
Zhouyuan Huo United States
Arjun Nitin Bhagoji United States
Adrià Gascón United Kingdom
Chaoyang He United States
Praneeth Vepakomma United States
Jakub Konečný United Kingdom
Badih Ghazi United States
Sebastian U. Stich Switzerland
Florian Tramèr United States
Peter Kairouz United States
Aurélien Bellet relative to Zhouyuan Huo United States Zhouyuan Huo's profile →
Citations per field
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Zhouyuan Huo · 1×
Citations per year

Countries citing papers authored by Aurélien Bellet

Since Specialization
Citations

This map shows the geographic impact of Aurélien Bellet's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Aurélien Bellet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aurélien Bellet more than expected).

Fields of papers citing papers by Aurélien Bellet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aurélien Bellet. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Aurélien Bellet. The network helps show where Aurélien Bellet may publish in the future.

Co-authors

The 25 scholars most cited alongside Aurélien Bellet, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Aurélien Bellet Line = papers co-authored together Aurélien Bellet links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Advances and Open Problems in Federated Learning
Hit paper breakdown →
20203000
2 201456
3 201552
4 201450
5 201543
6 202038
7 201932
8 202228
9 197226
10 201225
11 202224
12 201519
13 202219
14 202318
15 201815
16 202013
17
Federated Multi-Task Learning under a Mixture of Distributions
202110
18 20119
19 20228
20 20186

About Aurélien Bellet

Aurélien Bellet is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Management Science and Operations Research and Computer Science Applications, having authored 46 papers that have together received 3.5k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (8 papers), Speech Recognition and Synthesis (8 papers), Face and Expression Recognition (6 papers), Topic Modeling (6 papers), Stochastic Gradient Optimization Techniques (5 papers), Sparse and Compressive Sensing Techniques (5 papers), Cryptography and Data Security (4 papers) and Data Quality and Management (4 papers). The work is most often cited by research in Artificial Intelligence (2.7k citations), Health Informatics (84 citations), Computer Science Applications (261 citations), Computer Networks and Communications (527 citations) and Information Systems (367 citations). Aurélien Bellet has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Amaury Habrard, Marc Sebban, Fei Sha, Marc Tommasi, Emmanuel Vincent, Yuan Shi, Anne-Marie Kermarrec, Xin Wang, Kuan Liu and Junichi Yamagishi. Their work appears in journals such as Synthesis lectures on artificial intelligence and machine learning, Machine Learning, Neurocomputing, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies and Journal of Computational Biology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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