Angelo Rodio
Scholar

Angelo Rodio

Google Scholar ID: l-uI1ioAAAAJ
Linköping University
Machine LearningFederated LearningOptimizationDistributed Systems
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Citations & Impact
All-time
Citations
62
 
H-index
3
 
i10-index
1
 
Publications
10
 
Co-authors
0
 
Contact
Emailangelo.rodio@liu.seTwitterOpen ↗GitHubOpen ↗LinkedInOpen ↗
Publications
3 items
A Unified Convergence Analysis for Semi-Decentralized Learning: Sampled-to-Sampled vs. Sampled-to-All Communication
2025
Cited
0
Green Federated Learning via Carbon-Aware Client and Time Slot Scheduling
2025
Cited
0
Whisper D-SGD: Correlated Noise Across Agents for Differentially Private Decentralized Learning
2025
Cited
0
Resume
Academic Achievements
  • - Papers Published: IEEE MASCOTS 2025, IEEE ITW 2025, ECAI 2024, ACM SIGMETRICS 2024, WPMC 2023, IEEE/ACM Transactions on Networking, IEEE INFOCOM 2023
  • - Conferences Attended: Workshop on Frugal Machine Learning, Université Grenoble Alpes, France
Research Experience
  • - Postdoctoral Researcher: Linköping University, Sweden, Collaborators: Erik G. Larsson and Zheng Chen, Focus: Decentralized machine learning (Started September 1, 2024)
  • - During PhD: Inria, France, Advisor: Giovanni Neglia, Focus: Federated Learning
Education
  • - PhD: Inria, France, Advisor: Giovanni Neglia, Focus: Federated Learning
  • - Time: Defended on July 3, 2024
Background
  • - Research Interests: Designing scalable distributed algorithms for efficient use of data and system resources
  • - Professional Field: Distributed optimization, statistical learning theory
  • - Bio: Post-doctoral researcher at Linköping University, Sweden, working on decentralized machine learning
Miscellany
  • - Personal Interests: Sports (mainly running and cycling), traveling, hiking with friends and family
  • - Languages: French