Search Results for author: Mert Kayaalp

Found 9 papers, 1 papers with code

Causal Influences over Social Learning Networks

no code implementations13 Jul 2023 Mert Kayaalp, Ali H. Sayed

This paper investigates causal influences between agents linked by a social graph and interacting over time.

Decision Making

Non-Asymptotic Performance of Social Machine Learning Under Limited Data

no code implementations15 Jun 2023 Ping Hu, Virginia Bordignon, Mert Kayaalp, Ali H. Sayed

This paper studies the probability of error associated with the social machine learning framework, which involves an independent training phase followed by a cooperative decision-making phase over a graph.

Classification Decision Making

On the Fusion Strategies for Federated Decision Making

no code implementations10 Mar 2023 Mert Kayaalp, Yunus Inan, Visa Koivunen, Emre Telatar, Ali H. Sayed

We consider the problem of information aggregation in federated decision making, where a group of agents collaborate to infer the underlying state of nature without sharing their private data with the central processor or each other.

Decision Making

Policy Evaluation in Decentralized POMDPs with Belief Sharing

1 code implementation8 Feb 2023 Mert Kayaalp, Fatima Ghadieh, Ali H. Sayed

As a remedy, we propose a fully decentralized belief forming strategy that relies on individual updates and on localized interactions over a communication network.

Multi-agent Reinforcement Learning

Distributed Bayesian Learning of Dynamic States

no code implementations5 Dec 2022 Mert Kayaalp, Virginia Bordignon, Stefan Vlaski, Vincenzo Matta, Ali H. Sayed

This work studies networked agents cooperating to track a dynamical state of nature under partial information.

On the Arithmetic and Geometric Fusion of Beliefs for Distributed Inference

no code implementations28 Apr 2022 Mert Kayaalp, Yunus Inan, Emre Telatar, Ali H. Sayed

We study the asymptotic learning rates under linear and log-linear combination rules of belief vectors in a distributed hypothesis testing problem.

Social Opinion Formation and Decision Making Under Communication Trends

no code implementations4 Mar 2022 Mert Kayaalp, Virginia Bordignon, Ali H. Sayed

We show that agents can learn the true hypothesis even if they do not discuss it, at rates comparable to traditional social learning.

Decision Making

Hidden Markov Modeling over Graphs

no code implementations26 Nov 2021 Mert Kayaalp, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed

This work proposes a multi-agent filtering algorithm over graphs for finite-state hidden Markov models (HMMs), which can be used for sequential state estimation or for tracking opinion formation over dynamic social networks.

Dif-MAML: Decentralized Multi-Agent Meta-Learning

no code implementations6 Oct 2020 Mert Kayaalp, Stefan Vlaski, Ali H. Sayed

The formalism of meta-learning is actually well-suited to this decentralized setting, where the learner would be able to benefit from information and computational power spread across the agents.

Meta-Learning

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