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Martin Jaggi — most-cited papers & profile · Federated Learning
← authors
·
overview
Martin Jaggi
26
papers ·
1089
citations ·
46
h-index
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Semantic Scholar ↗
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Most-cited papers
Ensemble Distillation for Robust Model Fusion in Federated Learning
2020 · 486 citations
A Field Guide to Federated Optimization
2021 · 167 citations
Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning
2020 · 94 citations
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings
2022 · 53 citations
A Unified Theory of Decentralized SGD with Changing Topology and Local Updates
2020 · 49 citations
Secure Byzantine-Robust Machine Learning
2020 · 39 citations
Learning from History for Byzantine Robust Optimization
2020 · 24 citations
Sharper Convergence Guarantees for Asynchronous SGD for Distributed and Federated Learning
2022 · 18 citations
Quasi-Global Momentum: Accelerating Decentralized Deep Learning on Heterogeneous Data
2021 · 14 citations
Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing
2020 · 13 citations
Data-heterogeneity-aware Mixing for Decentralized Learning
2022 · 8 citations
IFedAvg: Interpretable Data-Interoperability for Federated Learning
2021 · 5 citations
Byzantine-Robust Decentralized Learning via ClippedGossip
2022 · 4 citations
WAFFLE: Weighted Averaging for Personalized Federated Learning
2021 · 1 citations
Scalable Collaborative Learning via Representation Sharing
2022 · 1 citations
Top co-authors
Sai Praneeth Karimireddy
· 9
Sebastian U. Stich
· 8
Lie He
· 5
Anastasia Koloskova
· 3
Ananda Theertha Suresh
· 2
Chaoyang He
· 2
Felix Grimberg
· 2
Mary-Anne Hartley
· 2
Mehryar Mohri
· 2
Salman Avestimehr
· 2
Sashank J. Reddi
· 2
Satyen Kale
· 2
Topics
Federated Learning
Optimization
Data Heterogeneity
Privacy
Communication
Security
Adversarial Attacks
Edge Computing