2026 Martin Jaggi: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	36	10972	10664	190	189	124	12504

Martin Jaggi publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Martin Jaggi sits on this spectrum.

32 publications 991+

This scientist: 124 publications — 16th percentile

16% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Martin Jaggi D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Martin Jaggi sits on this spectrum.

30 D-Index 131+

This scientist: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Martin Jaggi is affiliated with the École Polytechnique Fédérale de Lausanne in Switzerland. Their research primarily falls within the domain of computer science, with a notable focus on artificial intelligence. The scientist has contributed extensively to areas including artificial intelligence, computer vision and pattern recognition, computer networks and communications, computational mechanics, and electrical and electronic engineering.

The main topical areas of their work include stochastic gradient optimization techniques, privacy-preserving technologies in data, topic modeling, natural language processing techniques, adversarial robustness in machine learning, advanced neural network applications, and sparse and compressive sensing techniques.

Martin Jaggi has published numerous articles, with a considerable number in the following venues:

arXiv (Cornell University)
Zenodo (CERN European Organization for Nuclear Research)
npj Digital Medicine
Proceedings of the AAAI Conference on Artificial Intelligence
SSRN Electronic Journal

Some of their recent publications include:

"Advances and Open Problems in Federated Learning," 2020, Foundations and Trends® in Machine Learning
"Ensemble Distillation for Robust Model Fusion in Federated Learning," 2020, arXiv (Cornell University)
"A Field Guide to Federated Optimization," 2021, arXiv (Cornell University)
"MEDITRON-70B: Scaling Medical Pretraining for Large Language Models," 2023, arXiv (Cornell University)
"Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning," 2020, arXiv (Cornell University)

Frequent collaborators working with Martin Jaggi include:

Sebastian U. Stich
Sai Praneeth Karimireddy
Mary-Anne Hartley
Thijs Vogels
Amirkeivan Mohtashami

Best Publications

Advances and Open Problems in Federated Learning

Peter Kairouz;H. Brendan McMahan;Brendan Avent;Aurélien Bellet

4595
Citations
Advances and open problems in federated learning

Peter Kairouz;H. Brendan McMahan;Brendan Avent;Aurélien Bellet

1189
Citations
Unsupervised Learning of Sentence Embeddings Using Compositional n-Gram Features

Unknown

838
Citations
Ensemble Distillation for Robust Model Fusion in Federated Learning

Tao Lin;Lingjing Kong;Sebastian U. Stich;Martin Jaggi

510
Citations
Learning Aerial Image Segmentation From Online Maps

Pascal Kaiser;Jan Dirk Wegner;Aurelien Lucchi;Martin Jaggi

356
Citations
Unsupervised Scalable Representation Learning for Multivariate Time Series

Jean-Yves Franceschi;Aymeric Dieuleveut;Aymeric Dieuleveut;Martin Jaggi

286
Citations
Error Feedback Fixes SignSGD and other Gradient Compression Schemes.

Sai Praneeth Reddy Karimireddy;Quentin Rebjock;Sebastian Urban Stich;Martin Jaggi

281
Citations
Evaluating The Search Phase of Neural Architecture Search

Kaicheng Yu;Christian Sciuto;Martin Jaggi;Claudiu Musat

280
Citations
Don't Use Large Mini-batches, Use Local SGD

Tao Lin;Sebastian U. Stich;Kumar Kshitij Patel;Martin Jaggi

259
Citations
On the Relationship between Self-Attention and Convolutional Layers

Jean-Baptiste Cordonnier;Andreas Loukas;Martin Jaggi

218
Citations
Distributed optimization with arbitrary local solvers

Chenxin Ma;Jakub Konečný;Martin Jaggi;Virginia Smith

205
Citations
A Unified Theory of Decentralized SGD with Changing Topology and Local Updates

Anastasiia Koloskova;Nicolas Loizou;Sadra Boreiri;Martin Jaggi

177
Citations
A Field Guide to Federated Optimization

Jianyu Wang;Zachary Charles;Zheng Xu;Gauri Joshi

171
Citations
PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization

Thijs Vogels;Sai Praneeth Karimireddy;Martin Jaggi

158
Citations
Leveraging Large Amounts of Weakly Supervised Data for Multi-Language Sentiment Classification

Jan Deriu;Aurelien Lucchi;Valeria De Luca;Aliaksei Severyn

150
Citations
SwissCheese at SemEval-2016 Task 4: Sentiment Classification Using an Ensemble of Convolutional Neural Networks with Distant Supervision

Jan Deriu;Maurice Gonzenbach;Fatih Uzdilli;Aurélien Lucchi

143
Citations
Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning

Sai Praneeth Karimireddy;Martin Jaggi;Satyen Kale;Mehryar Mohri

116
Citations
Dynamic Model Pruning with Feedback

Tao Lin;Sebastian U. Stich;Luis Barba;Daniil Dmitriev

107
Citations
Decentralized Deep Learning with Arbitrary Communication Compression

Anastasia Koloskova;Tao Lin;Sebastian U Stich;Martin Jaggi

97
Citations
Sparse Convex Optimization Methods for Machine Learning

Unknown

97
Citations
Multi-Head Attention: Collaborate Instead of Concatenate

Jean-Baptiste Cordonnier;Andreas Loukas;Martin Jaggi

60
Citations
Model Fusion via Optimal Transport

Sidak Pal Singh;Martin Jaggi

23
Citations

Frequent Co-Authors

Frederic Fleuret Leprince-Ringuet Laboratory

Mehryar Mohri Google (United States)

Mathieu Salzmann École Polytechnique Fédérale de Lausanne

H. Brendan McMahan Google (United States)

Peter Richtárik King Abdullah University of Science and Technology

Felix X. Yu Google (United States)

Satyen Kale Google (United States)

Phillip B. Gibbons Carnegie Mellon University

Markus Püschel ETH Zurich

Dawn Song University of California, Berkeley

External Links

Personal website of Martin Jaggi

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