Virginia Bordignon

Orcid: 0000-0001-9273-2388

According to our database1, Virginia Bordignon authored at least 28 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Socially Intelligent Networks: A framework for decision making over graphs.
IEEE Signal Process. Mag., July, 2024

Social Learning with Adaptive Models.
Proceedings of the IEEE International Conference on Acoustics, 2024

Adaptive Social Learning for Tracking Rare Transition Markov Chains.
Proceedings of the 32nd European Signal Processing Conference, 2024

2023
Optimal Aggregation Strategies for Social Learning Over Graphs.
IEEE Trans. Inf. Theory, September, 2023

Self-Aware Social Learning Over Graphs.
IEEE Trans. Inf. Theory, August, 2023

Learning From Heterogeneous Data Based on Social Interactions Over Graphs.
IEEE Trans. Inf. Theory, May, 2023

Partial Information Sharing Over Social Learning Networks.
IEEE Trans. Inf. Theory, March, 2023

Memory-Aware Social Learning Under Partial Information Sharing.
IEEE Trans. Signal Process., 2023

Non-Asymptotic Performance of Social Machine Learning Under Limited Data.
CoRR, 2023

Performance of Social Machine Learning Under Limited Data.
Proceedings of the IEEE International Conference on Acoustics, 2023

The Role of Memory in Social Learning When Sharing Partial Opinions.
Proceedings of the IEEE International Conference on Acoustics, 2023

Asynchronous Social Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023

Social Learning with Non-Bayesian Local Updates.
Proceedings of the 31st European Signal Processing Conference, 2023

2022
Distributed Bayesian Learning of Dynamic States.
CoRR, 2022

Dencentralized learning in the presence of low-rank noise.
CoRR, 2022

Random Information Sharing over Social Networks.
CoRR, 2022

Decentralized Learning in the Presence of Low-Rank Noise.
Proceedings of the IEEE International Conference on Acoustics, 2022

Optimal Combination Policies for Adaptive Social Learning.
Proceedings of the IEEE International Conference on Acoustics, 2022

Social Learning with Disparate Hypotheses.
Proceedings of the 30th European Signal Processing Conference, 2022

2021
Adaptive Social Learning.
IEEE Trans. Inf. Theory, 2021

Hidden Markov Modeling over Graphs.
CoRR, 2021

Deception in Social Learning.
CoRR, 2021

Social Learning Under Inferential Attacks.
Proceedings of the IEEE International Conference on Acoustics, 2021

Network Classifiers Based on Social Learning.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Learning Graph Influence from Social Interactions.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Social Learning with Partial Information Sharing.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Adaptation in Online Social Learning.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
Interplay between Topology and Social Learning over Weak Graphs.
CoRR, 2019


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