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Diego Klabjan — most-cited papers & profile · Federated Learning
← authors
·
overview
Diego Klabjan
32
papers ·
62
citations ·
39
h-index
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
A Primal-Dual Algorithm for Hybrid Federated Learning
2022 · 3 citations
Federated Automated Feature Engineering
2024 · 2 citations
Class-Grouped Normalized Momentum and Faster Hyperparameter Exploration to Tackle Class Imbalance in Federated Learning
2026
FedGA-Tree: Federated Decision Tree using Genetic Algorithm
2025
Federated Low-Rank Tensor Estimation for Multimodal Image Reconstruction
2025
Continuous-Time Analysis of Federated Averaging
2025
Communication-Efficient Federated Low-Rank Update Algorithm and its Connection to Implicit Regularization
2024
Aggregation Delayed Federated Learning
2021
Robust softmax aggregation on blockchain based federated learning with convergence guarantee
2023
Decentralized Blockchain-based Robust Multi-agent Multi-armed Bandit
2024
Hybrid FedGraph: An efficient hybrid federated learning algorithm using graph convolutional neural network
2024
LanFL: Differentially Private Federated Learning with Large Language Models using Synthetic Samples
2024
Top co-authors
Tom Overman
· 3
Huiyu Wu
· 2
and Fanfei Meng
· 1
Anh Van Nguyen
· 1
Anh V Nguyen
· 1
Balakrishnan Ananthanarayanan
· 1
Garrett Blum
· 1
Haemin Park
· 1
Haemin Park
· 1
Jaeyeon Jang
· 1
Kibaek Kim
· 1
Martin W. Braun
· 1
Topics
Federated Learning
Privacy
Optimization
Data Heterogeneity
Communication
Adversarial Attacks
cs.GT
cs.MA