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ORCIDMert Kayaalp
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Journal Articles
- 2024
[j3]Valentina Shumovskaia
, Mert Kayaalp, Ali H. Sayed:
Detection of Malicious Agents in Social Learning. IEEE Signal Process. Lett. 31: 1745-1749 (2024)- [j2]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): 2265-2280 (2024) - [j1]Valentina Shumovskaia, Mert Kayaalp, Ali H. Sayed:
Social Learning in Community Structured Graphs. IEEE Trans. Signal Process. 72: 2812-2826 (2024)
Conference and Workshop Papers
- 2024
- [c10]Valentina Shumovskaia, Mert Kayaalp, Ali H. Sayed:
Distributed Decision-Making for Community Structured Networks. ICASSP 2024: 9316-9320 - [c9]Mert Kayaalp, Yunus Inan, Visa Koivunen, Ali H. Sayed:
Causal Impact Analysis for Asynchronous Decision Making. ISIT 2024: 1641-1645 - 2023
- [c8]Virginia Bordignon, Mert Kayaalp, Vincenzo Matta, Ali H. Sayed:
Social Learning with Non-Bayesian Local Updates. EUSIPCO 2023: 1-5 - [c7]Mert Cemri, Virginia Bordignon, Mert Kayaalp, Valentina Shumovskaia, Ali H. Sayed:
Asynchronous Social Learning. ICASSP 2023: 1-5 - [c6]Ping Hu, Virginia Bordignon, Mert Kayaalp, Ali H. Sayed:
Performance of Social Machine Learning Under Limited Data. ICASSP 2023: 1-5 - [c5]Valentina Shumovskaia, Mert Kayaalp, Ali H. Sayed:
Identifying Opinion Influencers over Social Networks. ICASSP 2023: 1-5 - [c4]Mert Kayaalp, Yunus Inan, Visa Koivunen, Emre Telatar, Ali H. Sayed:
On the Fusion Strategies for Federated Decision Making. SSP 2023: 270-274 - 2022
- [c3]Yunus Inan, Mert Kayaalp, Ali H. Sayed, Emre Telatar:
A Fundamental Limit of Distributed Hypothesis Testing Under Memoryless Quantization. ICC 2022: 4824-4829 - [c2]Yunus Inan, Mert Kayaalp, Emre Telatar, Ali H. Sayed:
Social Learning under Randomized Collaborations. ISIT 2022: 115-120 - 2021
- [c1]Mert Kayaalp, Stefan Vlaski, Ali H. Sayed:
Distributed Meta-Learning with Networked Agents. EUSIPCO 2021: 1361-1365
Informal and Other Publications
- 2024
- [i15]Valentina Shumovskaia, Mert Kayaalp, Ali H. Sayed:
Detection of Malicious Agents in Social Learning. CoRR abs/2403.12619 (2024) - [i14]Mert Kayaalp, Yunus Inan, Visa Koivunen, Ali H. Sayed:
Causal Influence in Federated Edge Inference. CoRR abs/2405.01260 (2024) - 2023
- [i13]Mert Kayaalp, Fatima Ghadieh, Ali H. Sayed:
Policy Evaluation in Decentralized POMDPs with Belief Sharing. CoRR abs/2302.04151 (2023) - [i12]Mert Kayaalp, Yunus Inan, Visa Koivunen, Emre Telatar, Ali H. Sayed:
On the Fusion Strategies for Federated Decision Making. CoRR abs/2303.06109 (2023) - [i11]Ping Hu, Virginia Bordignon, Mert Kayaalp, Ali H. Sayed:
Non-Asymptotic Performance of Social Machine Learning Under Limited Data. CoRR abs/2306.09397 (2023) - [i10]Mert Kayaalp, Ali H. Sayed:
Causal Influences over Social Learning Networks. CoRR abs/2307.09575 (2023) - [i9]Valentina Shumovskaia, Mert Kayaalp, Ali H. Sayed:
Social Learning in Community Structured Graphs. CoRR abs/2312.12186 (2023) - 2022
- [i8]Yunus Inan, Mert Kayaalp, Emre Telatar, Ali H. Sayed:
Social Learning under Randomized Collaborations. CoRR abs/2201.10957 (2022) - [i7]Mert Kayaalp, Virginia Bordignon, Ali H. Sayed:
Random Information Sharing over Social Networks. CoRR abs/2203.02466 (2022) - [i6]Mert Kayaalp, Yunus Inan, Emre Telatar, Ali H. Sayed:
On the Arithmetic and Geometric Fusion of Beliefs for Distributed Inference. CoRR abs/2204.13741 (2022) - [i5]Yunus Inan, Mert Kayaalp, Ali H. Sayed, Emre Telatar:
A Fundamental Limit of Distributed Hypothesis Testing Under Memoryless Quantization. CoRR abs/2206.12232 (2022) - [i4]Valentina Shumovskaia, Mert Kayaalp, Mert Cemri, Ali H. Sayed:
Discovering Influencers in Opinion Formation over Social Graphs. CoRR abs/2211.13292 (2022) - [i3]Mert Kayaalp, Virginia Bordignon, Stefan Vlaski, Vincenzo Matta, Ali H. Sayed:
Distributed Bayesian Learning of Dynamic States. CoRR abs/2212.02565 (2022) - 2021
- [i2]Mert Kayaalp, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed:
Hidden Markov Modeling over Graphs. CoRR abs/2111.13626 (2021) - 2020
- [i1]Mert Kayaalp, Stefan Vlaski, Ali H. Sayed:
Dif-MAML: Decentralized Multi-Agent Meta-Learning. CoRR abs/2010.02870 (2020)
Coauthor Index
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