Mert Kayaalp

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 27

Top Topics

Pedagogical Agents

Hypothesis Test

Social Learning

Top Venues

Publications

Valentina Shumovskaia, Mert Kayaalp, Ali H. Sayed
Detection of Malicious Agents in Social Learning. CoRR (2024)
Valentina Shumovskaia, Mert Kayaalp, Ali H. Sayed
Social Learning in Community Structured Graphs. IEEE Trans. Signal Process. 72 (2024)
Valentina Shumovskaia, Mert Kayaalp, Ali H. Sayed
Detection of Malicious Agents in Social Learning. IEEE Signal Process. Lett. 31 (2024)
Mert Kayaalp, Yunus Inan, Emre Telatar, Ali H. Sayed
On the Arithmetic and Geometric Fusion of Beliefs for Distributed Inference. IEEE Trans. Autom. Control. 69 (4) (2024)
Mert Kayaalp, Yunus Inan, Visa Koivunen, Ali H. Sayed
Causal Influence in Federated Edge Inference. CoRR (2024)
Valentina Shumovskaia, Mert Kayaalp, Ali H. Sayed
Distributed Decision-Making for Community Structured Networks. ICASSP (2024)
Virginia Bordignon, Mert Kayaalp, Vincenzo Matta, Ali H. Sayed
Social Learning with Non-Bayesian Local Updates. EUSIPCO (2023)
Ping Hu, Virginia Bordignon, Mert Kayaalp, Ali H. Sayed
Performance of Social Machine Learning Under Limited Data. ICASSP (2023)
Mert Kayaalp, Ali H. Sayed
Causal Influences over Social Learning Networks. CoRR (2023)
Ping Hu, Virginia Bordignon, Mert Kayaalp, Ali H. Sayed
Non-Asymptotic Performance of Social Machine Learning Under Limited Data. CoRR (2023)
Valentina Shumovskaia, Mert Kayaalp, Ali H. Sayed
Social Learning in Community Structured Graphs. CoRR (2023)
Valentina Shumovskaia, Mert Kayaalp, Ali H. Sayed
Identifying Opinion Influencers over Social Networks. ICASSP (2023)
Mert Cemri, Virginia Bordignon, Mert Kayaalp, Valentina Shumovskaia, Ali H. Sayed
Asynchronous Social Learning. ICASSP (2023)
Mert Kayaalp, Yunus Inan, Visa Koivunen, Emre Telatar, Ali H. Sayed
On the Fusion Strategies for Federated Decision Making. CoRR (2023)
Mert Kayaalp, Fatima Ghadieh, Ali H. Sayed
Policy Evaluation in Decentralized POMDPs with Belief Sharing. CoRR (2023)
Mert Kayaalp, Yunus Inan, Visa Koivunen, Emre Telatar, Ali H. Sayed
On the Fusion Strategies for Federated Decision Making. SSP (2023)
Yunus Inan, Mert Kayaalp, Emre Telatar, Ali H. Sayed
Social Learning under Randomized Collaborations. ISIT (2022)
Yunus Inan, Mert Kayaalp, Ali H. Sayed, Emre Telatar
A Fundamental Limit of Distributed Hypothesis Testing Under Memoryless Quantization. CoRR (2022)
Mert Kayaalp, Virginia Bordignon, Stefan Vlaski, Vincenzo Matta, Ali H. Sayed
Distributed Bayesian Learning of Dynamic States. CoRR (2022)
Mert Kayaalp, Virginia Bordignon, Ali H. Sayed
Random Information Sharing over Social Networks. CoRR (2022)
Yunus Inan, Mert Kayaalp, Ali H. Sayed, Emre Telatar
A Fundamental Limit of Distributed Hypothesis Testing Under Memoryless Quantization. ICC (2022)
Yunus Inan, Mert Kayaalp, Emre Telatar, Ali H. Sayed
Social Learning under Randomized Collaborations. CoRR (2022)
Valentina Shumovskaia, Mert Kayaalp, Mert Cemri, Ali H. Sayed
Discovering Influencers in Opinion Formation over Social Graphs. CoRR (2022)
Mert Kayaalp, Yunus Inan, Emre Telatar, Ali H. Sayed
On the Arithmetic and Geometric Fusion of Beliefs for Distributed Inference. CoRR (2022)
Mert Kayaalp, Stefan Vlaski, Ali H. Sayed
Distributed Meta-Learning with Networked Agents. EUSIPCO (2021)
Mert Kayaalp, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed
Hidden Markov Modeling over Graphs. CoRR (2021)
Mert Kayaalp, Stefan Vlaski, Ali H. Sayed
Dif-MAML: Decentralized Multi-Agent Meta-Learning. CoRR (2020)