publications

2025

  1. ICML
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    Distributed Event-Based Learning via ADMM
    G. D. Er, S. Trimpe, and M. Mühlebach
    To appear in International Conference on Machine Learning (ICML), 2025
  2. L4DC
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    Controlling Participation in Federated Learning with Feedback
    M. Cummins, G. D. Er, and M. Mühlebach
    To appear in Learning for Dynamics and Control (L4DC), 2025

2024

  1. ICML
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    Event-Based Federated Q-Learning
    G. D. Er, and M. Mühlebach
    ICML 2024 Workshop: Foundations of Reinforcement Learning and Control, 2024
  2. SysOpt
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    A Systems-Theoretic Approach to Event-Based Distributed Learning
    G. D. Er, S. Trimpe, and M. Mühlebach
    Symposium on Systems Theory in Data and Optimization, 2024

2023

  1. Bioinspir Biomim
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    Stochastic Stability Analysis of Legged Locomotion Using Unscented Transformation
    G. D. Er, and M. M. Ankarali
    Bioinspiration & Biomimetics, 2023

2022

  1. METU
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    Stochastic Analysis and Adaptive Control Studies in Legged Systems
    G. D. Er
    2022
    MSc Thesis
  2. BioRob
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    Adaptive Control of Underactuated Planar Pronking
    G. D. Er, and M. M. Ankarali
    IEEE RAS/EMBS Int. Conf. for Biomedical Robotics and Biomechatronics (BioRob), 2022
    Oral Presentation

2020

  1. SIU2020
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    Characterization of Fixed Points of Spring-Mass Model with a Body
    O. K. Karagoz, I. Sever, G. D. Er, and 2 more authors
    IEEE Signal Processing and Communications Applications Conf., 2020