Mert Kayaalp

According to our database, Mert Kayaalp authored at least 24 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Non-asymptotic performance of social machine learning under limited data.

Ping Hu, Virginia Bordignon, Mert Kayaalp, Ali H. Sayed

Signal Process., 2025

Optimal Combination Policies for Error Exponent Maximization in Social Learning.

Ping Hu, Mert Kayaalp, Ali H. Sayed

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

On the Arithmetic and Geometric Fusion of Beliefs for Distributed Inference.

Mert Kayaalp, Yunus Inan, Emre Telatar, Ali H. Sayed

IEEE Trans. Autom. Control., April, 2024

Social Learning in Community Structured Graphs.

Valentina Shumovskaia, Mert Kayaalp, Ali H. Sayed

IEEE Trans. Signal Process., 2024

Causal Influence in Federated Edge Inference.

Mert Kayaalp, Yunus Inan, Visa Koivunen, Ali H. Sayed

IEEE Trans. Signal Process., 2024

Social Opinion Formation and Decision Making Under Communication Trends.

Mert Kayaalp, Virginia Bordignon, Ali H. Sayed

IEEE Trans. Signal Process., 2024

Detection of Malicious Agents in Social Learning.

Valentina Shumovskaia, Mert Kayaalp, Ali H. Sayed

IEEE Signal Process. Lett., 2024

Causal Impact Analysis for Asynchronous Decision Making.

Mert Kayaalp, Yunus Inan, Visa Koivunen, Ali H. Sayed

Proceedings of the IEEE International Symposium on Information Theory, 2024

Distributed Decision-Making for Community Structured Networks.

Valentina Shumovskaia, Mert Kayaalp, Ali H. Sayed

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Causal Influences over Social Learning Networks.

Mert Kayaalp, Ali H. Sayed

CoRR, 2023

Policy Evaluation in Decentralized POMDPs with Belief Sharing.

Mert Kayaalp, Fatima Ghadieh, Ali H. Sayed

CoRR, 2023

On the Fusion Strategies for Federated Decision Making.

Mert Kayaalp, Yunus Inan, Visa Koivunen, Emre Telatar, Ali H. Sayed

Proceedings of the IEEE Statistical Signal Processing Workshop, 2023

Identifying Opinion Influencers over Social Networks.

Valentina Shumovskaia, Mert Kayaalp, Ali H. Sayed

Proceedings of the IEEE International Conference on Acoustics, 2023

Performance of Social Machine Learning Under Limited Data.

Ping Hu, Virginia Bordignon, Mert Kayaalp, Ali H. Sayed

Proceedings of the IEEE International Conference on Acoustics, 2023

Asynchronous Social Learning.

Mert Cemri, Virginia Bordignon, Mert Kayaalp, Valentina Shumovskaia, Ali H. Sayed

Proceedings of the IEEE International Conference on Acoustics, 2023

Social Learning with Non-Bayesian Local Updates.

Virginia Bordignon, Mert Kayaalp, Vincenzo Matta, Ali H. Sayed

Proceedings of the 31st European Signal Processing Conference, 2023

2022

Distributed Bayesian Learning of Dynamic States.

Mert Kayaalp, Virginia Bordignon, Stefan Vlaski, Vincenzo Matta, Ali H. Sayed

CoRR, 2022

Discovering Influencers in Opinion Formation over Social Graphs.

Valentina Shumovskaia, Mert Kayaalp, Mert Cemri, Ali H. Sayed

CoRR, 2022

Random Information Sharing over Social Networks.

Mert Kayaalp, Virginia Bordignon, Ali H. Sayed

CoRR, 2022

Social Learning under Randomized Collaborations.

Yunus Inan, Mert Kayaalp, Emre Telatar, Ali H. Sayed

Proceedings of the IEEE International Symposium on Information Theory, 2022

A Fundamental Limit of Distributed Hypothesis Testing Under Memoryless Quantization.

Yunus Inan, Mert Kayaalp, Ali H. Sayed, Emre Telatar

Proceedings of the IEEE International Conference on Communications, 2022

2021

Hidden Markov Modeling over Graphs.

Mert Kayaalp, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed

CoRR, 2021

Distributed Meta-Learning with Networked Agents.

Mert Kayaalp, Stefan Vlaski, Ali H. Sayed

Proceedings of the 29th European Signal Processing Conference, 2021

2020

Dif-MAML: Decentralized Multi-Agent Meta-Learning.

Mert Kayaalp, Stefan Vlaski, Ali H. Sayed

CoRR, 2020