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Samuel Horvath — most-cited papers & profile · Federated Learning
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Samuel Horvath
16
papers ·
356
citations
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Most-cited papers
A Field Guide to Federated Optimization
2021 · 167 citations
Optimal Client Sampling for Federated Learning
2020 · 96 citations
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout
2021 · 64 citations
A Better Alternative to Error Feedback for Communication-Efficient Distributed Learning
2020 · 20 citations
FedShuffle: Recipes for Better Use of Local Work in Federated Learning
2022 · 6 citations
FLIX: A Simple and Communication-Efficient Alternative to Local Methods in Federated Learning
2021 · 1 citations
Handling Data Heterogeneity via Architectural Design for Federated Visual Recognition
2023 · 1 citations
Efficient Conformal Prediction under Data Heterogeneity
2023 · 1 citations
Double Momentum and Error Feedback for Clipping with Fast Rates and Differential Privacy
2025
CYCle: Choosing Your Collaborators Wisely to Enhance Collaborative Fairness in Decentralized Learning
2025
FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning
2024
Federated Learning Can Find Friends That Are Advantageous
2024
Redefining Contributions: Shapley-Driven Federated Learning
2024
Decentralized Personalized Federated Learning
2024
Top co-authors
Peter Richtarik
· 6
Karthik Nandakumar
· 3
Martin Takac
· 3
Nurbek Tastan
· 3
Eduard Gorbunov
· 2
Advait Gadhikar
· 1
Ahmed Khaled
· 1
Aleksandr Rubashevskii
· 1
Alexander Fishkov
· 1
Alex Ingerman
· 1
Ameet Talwalkar
· 1
Ananda Theertha Suresh
· 1
Topics
Federated Learning
Data Heterogeneity
Optimization
Communication
Privacy
Edge Computing