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Samuel Horvath β most-cited papers & profile Β· Large Language Models
β authors
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overview
Samuel Horvath
15
papers Β·
356
citations
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Most-cited papers
A Field Guide to Federated Optimization
2021 Β· 167 citations
Optimal Client Sampling for Federated Learning
2020 Β· 96 citations
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout
2021 Β· 64 citations
A Better Alternative to Error Feedback for Communication-Efficient Distributed Learning
2020 Β· 20 citations
FedShuffle: Recipes for Better Use of Local Work in Federated Learning
2022 Β· 6 citations
FLIX: A Simple and Communication-Efficient Alternative to Local Methods in Federated Learning
2021 Β· 1 citations
Handling Data Heterogeneity via Architectural Design for Federated Visual Recognition
2023 Β· 1 citations
Efficient Conformal Prediction under Data Heterogeneity
2023 Β· 1 citations
Response-Conditioned Parallel-to-Sequential Orchestration for Multi-Agent Systems
2026
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
Topics
Federated Learning
Data Heterogeneity
Optimization
Communication
Privacy
Multi-Agent
Orchestration
Planning
Edge Computing