Badih Ghazi

7k citations
42 papers · 4k · 1 hit paper · h-index 10

Impact in

    • Privacy-Preserving Technologies in Data
    • Adversarial Robustness in Machine Learning
    • Cryptography and Data Security
    • Stochastic Gradient Optimization Techniques
    • Domain Adaptation and Few-Shot Learning
    • IoT and Edge/Fog Computing
    • Network Security and Intrusion Detection

Papers in

Badih Ghazi

35 papers receiving 3.9k citations

Badih Ghazi's Hit Papers

Advances and Open Problems in Federated Learning 2020 · 3.7k citations
3.7k0+2+4Years since publication1k2k3k

Peers

Badih Ghazi
Comparison fields: 5 of 98
  • Artificial Intelligence 3.3k
  • Computer Networks and Communications 410
  • Health Informatics 41
  • Information Systems 168
  • Computer Vision and Pattern Recognition 84
Replace Jakub Konečný with:
Jakub Konečný United Kingdom
Sebastian U. Stich Switzerland
Zhouyuan Huo United States
Ziteng Sun United States
Zachary Charles United States
Arjun Nitin Bhagoji United States
Rafael G. L. D’Oliveira United States
Justin Hsu United States
Kallista Bonawitz United States
Adrià Gascón United States
Badih Ghazi relative to Jakub Konečný United Kingdom Jakub Konečný's profile →
Citations per field
00.5×1.5×
Jakub Konečný · 1×
Citations per year

Countries citing papers authored by Badih Ghazi

Since Specialization
Citations

This map shows the geographic impact of Badih Ghazi'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 Badih Ghazi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Badih Ghazi more than expected).

Fields of papers citing papers by Badih Ghazi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Badih Ghazi. 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 Badih Ghazi. The network helps show where Badih Ghazi may publish in the future.

Co-authors

The 25 scholars most cited alongside Badih Ghazi, 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 Badih Ghazi Line = papers co-authored together Badih Ghazi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Advances and Open Problems in Federated Learning
Hit paper breakdown →
20203698
2 201360
3 202244
4 202024
5 202122
6 201621
7 202216
8 202012
9 201810
10 202110
11 20148
12 20157
13 20227
14 20145
15 20185
16
User-Level Differentially Private Learning via Correlated Sampling
20215
17 20225
18 20235
19 20194
20 20214

About Badih Ghazi

Badih Ghazi is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Management Science and Operations Research and Computational Mechanics, having authored 42 papers that have together received 4k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (24 papers), Cryptography and Data Security (6 papers), Complexity and Algorithms in Graphs (6 papers), Error Correcting Code Techniques (4 papers), Coding theory and cryptography (4 papers), Quantum Information and Cryptography (3 papers), Wireless Communication Security Techniques (1 paper) and Stochastic Gradient Optimization Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (3.3k citations), Computer Networks and Communications (410 citations), Health Informatics (41 citations), Information Systems (168 citations) and Computer Vision and Pattern Recognition (84 citations). Badih Ghazi has collaborated with scholars based in United States, Denmark and Switzerland. Frequent co-authors include Pasin Manurangsi, R Dorai Kumar, Rasmus Pagh, Ameya Velingker, Pritish Kamath, Dina Katabi, Haitham Hassanieh, Eric Price, Lixin Shi and Piotr Indyk. Their work appears in journals such as IEEE Transactions on Information Theory, SIAM Journal on Computing, Theory of Computing, Lecture notes in computer science and IT University Of Copenhagen (IT University of Copenhagen).

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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