Scholar
Angelo Rodio
Google Scholar ID: l-uI1ioAAAAJ
Linköping University
Machine Learning
Federated Learning
Optimization
Distributed Systems
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Citations & Impact
All-time
Citations
62
H-index
3
i10-index
1
Publications
10
Co-authors
0
Contact
Email
angelo.rodio@liu.se
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GitHub
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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 (English only)
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
Co-authors
0 total
Co-authors: 0 (list not available)
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