Mert Kayaalp

Orcid: 0000-0002-0082-1058

According to our database1, Mert Kayaalp authored at least 22 papers between 2020 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
On the Arithmetic and Geometric Fusion of Beliefs for Distributed Inference.
IEEE Trans. Autom. Control., April, 2024

Social Learning in Community Structured Graphs.
IEEE Trans. Signal Process., 2024

Detection of Malicious Agents in Social Learning.
IEEE Signal Process. Lett., 2024

Causal Influence in Federated Edge Inference.
CoRR, 2024

Causal Impact Analysis for Asynchronous Decision Making.
Proceedings of the IEEE International Symposium on Information Theory, 2024

Distributed Decision-Making for Community Structured Networks.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Causal Influences over Social Learning Networks.
CoRR, 2023

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

Policy Evaluation in Decentralized POMDPs with Belief Sharing.
CoRR, 2023

On the Fusion Strategies for Federated Decision Making.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2023

Identifying Opinion Influencers over Social Networks.
Proceedings of the IEEE International Conference on Acoustics, 2023

Performance of Social Machine Learning Under Limited Data.
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

Discovering Influencers in Opinion Formation over Social Graphs.
CoRR, 2022

Random Information Sharing over Social Networks.
CoRR, 2022

Social Learning under Randomized Collaborations.
Proceedings of the IEEE International Symposium on Information Theory, 2022

A Fundamental Limit of Distributed Hypothesis Testing Under Memoryless Quantization.
Proceedings of the IEEE International Conference on Communications, 2022

2021
Hidden Markov Modeling over Graphs.
CoRR, 2021

Distributed Meta-Learning with Networked Agents.
Proceedings of the 29th European Signal Processing Conference, 2021

2020
Dif-MAML: Decentralized Multi-Agent Meta-Learning.
CoRR, 2020


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