Saved in:
| Main Authors: | Cummins, Michael, Er, Guner Dilsad, Muehlebach, Michael |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2411.19242 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Distributed Event-Based Learning via ADMM
by: Er, Guner Dilsad, et al.
Published: (2024)
by: Er, Guner Dilsad, et al.
Published: (2024)
A Systems-Theoretic View on the Convergence of Algorithms under Disturbances
by: Er, Guner Dilsad, et al.
Published: (2025)
by: Er, Guner Dilsad, et al.
Published: (2025)
Teaching Machine Learning Fundamentals with LEGO Robotics
by: Sydora, Viacheslav, et al.
Published: (2026)
by: Sydora, Viacheslav, et al.
Published: (2026)
On Constraints in First-Order Optimization: A View from Non-Smooth Dynamical Systems
by: Muehlebach, Michael, et al.
Published: (2021)
by: Muehlebach, Michael, et al.
Published: (2021)
The Sample Complexity of Online Reinforcement Learning: A Multi-model Perspective
by: Muehlebach, Michael, et al.
Published: (2025)
by: Muehlebach, Michael, et al.
Published: (2025)
A Pontryagin Perspective on Reinforcement Learning
by: Eberhard, Onno, et al.
Published: (2024)
by: Eberhard, Onno, et al.
Published: (2024)
Primal Methods for Variational Inequality Problems with Functional Constraints
by: Zhang, Liang, et al.
Published: (2024)
by: Zhang, Liang, et al.
Published: (2024)
Accelerated First-Order Optimization under Nonlinear Constraints
by: Muehlebach, Michael, et al.
Published: (2023)
by: Muehlebach, Michael, et al.
Published: (2023)
Decision-Dependent Stochastic Optimization: The Role of Distribution Dynamics
by: He, Zhiyu, et al.
Published: (2025)
by: He, Zhiyu, et al.
Published: (2025)
Towards a Systems Theory of Algorithms
by: Dörfler, Florian, et al.
Published: (2024)
by: Dörfler, Florian, et al.
Published: (2024)
Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation
by: Otsuka, Kaoru, et al.
Published: (2025)
by: Otsuka, Kaoru, et al.
Published: (2025)
FedSUM Family: Efficient Federated Learning Methods under Arbitrary Client Participation
by: You, Runze, et al.
Published: (2025)
by: You, Runze, et al.
Published: (2025)
Zeroth-Order Optimization at the Edge of Stability
by: Song, Minhak, et al.
Published: (2026)
by: Song, Minhak, et al.
Published: (2026)
Incentive-Aware Federated Averaging with Performance Guarantees under Strategic Participation
by: Maleki, Fateme, et al.
Published: (2026)
by: Maleki, Fateme, et al.
Published: (2026)
Zeroth-Order Optimization Finds Flat Minima
by: Zhang, Liang, et al.
Published: (2025)
by: Zhang, Liang, et al.
Published: (2025)
Distributionally Robust Federated Learning with Outlier Resilience
by: Wang, Zifan, et al.
Published: (2025)
by: Wang, Zifan, et al.
Published: (2025)
Modular Distributed Nonconvex Learning with Error Feedback
by: Carnevale, Guido, et al.
Published: (2025)
by: Carnevale, Guido, et al.
Published: (2025)
Decision-Focused Bias Correction for Fluid Approximation
by: Er, Can, et al.
Published: (2025)
by: Er, Can, et al.
Published: (2025)
A Fair OR-ML Framework for Resource Substitution in Large-Scale Networks
by: Mohan, Ved, et al.
Published: (2025)
by: Mohan, Ved, et al.
Published: (2025)
A Rolling-Space Branch-and-Price Algorithm for the Multi-Compartment Vehicle Routing Problem with Multiple Time Windows
by: Raqabi, El Mehdi Er, et al.
Published: (2026)
by: Raqabi, El Mehdi Er, et al.
Published: (2026)
Two-Timescale Optimization Framework for Sparse-Feedback Linear-Quadratic Optimal Control
by: Feng, Lechen, et al.
Published: (2024)
by: Feng, Lechen, et al.
Published: (2024)
Locally Adaptive Federated Learning
by: Mukherjee, Sohom, et al.
Published: (2023)
by: Mukherjee, Sohom, et al.
Published: (2023)
Provably Convergent Federated Trilevel Learning
by: Jiao, Yang, et al.
Published: (2023)
by: Jiao, Yang, et al.
Published: (2023)
Score Matching Diffusion Based Feedback Control and Planning of Nonlinear Systems
by: Elamvazhuthi, Karthik, et al.
Published: (2025)
by: Elamvazhuthi, Karthik, et al.
Published: (2025)
Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach
by: Feng, Lechen, et al.
Published: (2025)
by: Feng, Lechen, et al.
Published: (2025)
DOPL: Direct Online Preference Learning for Restless Bandits with Preference Feedback
by: Xiong, Guojun, et al.
Published: (2024)
by: Xiong, Guojun, et al.
Published: (2024)
Robust Feedback Optimization with Model Uncertainty: A Regularization Approach
by: Chan, Winnie, et al.
Published: (2025)
by: Chan, Winnie, et al.
Published: (2025)
Federated Learning Can Find Friends That Are Advantageous
by: Tupitsa, Nazarii, et al.
Published: (2024)
by: Tupitsa, Nazarii, et al.
Published: (2024)
Achieving Linear Speedup for Composite Federated Learning
by: Huang, Kun, et al.
Published: (2026)
by: Huang, Kun, et al.
Published: (2026)
Private Networked Federated Learning for Nonsmooth Objectives
by: Gauthier, François, et al.
Published: (2023)
by: Gauthier, François, et al.
Published: (2023)
On Performance Guarantees for Federated Learning with Personalized Constraints
by: Ebrahimi, Mohammadjavad, et al.
Published: (2026)
by: Ebrahimi, Mohammadjavad, et al.
Published: (2026)
Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Non-Penalty Approach
by: Feng, Lechen, et al.
Published: (2025)
by: Feng, Lechen, et al.
Published: (2025)
A Unified Analysis of Federated Learning with Arbitrary Client Participation
by: Wang, Shiqiang, et al.
Published: (2022)
by: Wang, Shiqiang, et al.
Published: (2022)
Employing Federated Learning for Training Autonomous HVAC Systems
by: Hagström, Fredrik, et al.
Published: (2024)
by: Hagström, Fredrik, et al.
Published: (2024)
Learning to Cover: Online Learning and Optimization with Irreversible Decisions
by: Jacquillat, Alexandre, et al.
Published: (2024)
by: Jacquillat, Alexandre, et al.
Published: (2024)
Enhancing Privacy in Federated Learning through Local Training
by: Bastianello, Nicola, et al.
Published: (2024)
by: Bastianello, Nicola, et al.
Published: (2024)
Multiplayer Federated Learning: Reaching Equilibrium with Less Communication
by: Yoon, TaeHo, et al.
Published: (2025)
by: Yoon, TaeHo, et al.
Published: (2025)
Neural Operators for Predictor Feedback Control of Nonlinear Delay Systems
by: Bhan, Luke, et al.
Published: (2024)
by: Bhan, Luke, et al.
Published: (2024)
Decision-Focused Learning with Directional Gradients
by: Huang, Michael, et al.
Published: (2024)
by: Huang, Michael, et al.
Published: (2024)
Error Feedback for Muon and Friends
by: Gruntkowska, Kaja, et al.
Published: (2025)
by: Gruntkowska, Kaja, et al.
Published: (2025)
Similar Items
-
Distributed Event-Based Learning via ADMM
by: Er, Guner Dilsad, et al.
Published: (2024) -
A Systems-Theoretic View on the Convergence of Algorithms under Disturbances
by: Er, Guner Dilsad, et al.
Published: (2025) -
Teaching Machine Learning Fundamentals with LEGO Robotics
by: Sydora, Viacheslav, et al.
Published: (2026) -
On Constraints in First-Order Optimization: A View from Non-Smooth Dynamical Systems
by: Muehlebach, Michael, et al.
Published: (2021) -
The Sample Complexity of Online Reinforcement Learning: A Multi-model Perspective
by: Muehlebach, Michael, et al.
Published: (2025)