Media Summary: Presented by our PhD student, Nguyen Van Huynh, at IEEE Globecom Conference 2021 This paper proposes a novel framework ... Presented at the 59th IEEE Conference on Decision and Control. DLFi is a Privacy-Preserving AI-as-a-Service (PP-AIaaS) solution. It provides a training environment on remote sites without ...

Cdc2021 Distributed Learning Of Optimal - Detailed Analysis & Overview

Presented by our PhD student, Nguyen Van Huynh, at IEEE Globecom Conference 2021 This paper proposes a novel framework ... Presented at the 59th IEEE Conference on Decision and Control. DLFi is a Privacy-Preserving AI-as-a-Service (PP-AIaaS) solution. It provides a training environment on remote sites without ... Part of the Minnesota Robotics Institute's Seminar Series, the University of Minnesota's Dr. Yasin Yazıcıoğlu shares his research in ... Speaker: Professor Na Li, Harvard University Time: February 15, 2023 (3pm UTC) CMU Theory Lunch talk from February 23, 2022 by Bernhard Haeupler: Universally-

Autonomous mobility-on-demand (AMoD) systems represent a rapidly developing mode of transportation wherein travel requests ... Speaker: Vladimir Dvorkin (PhD Student at DTU) November 2020, Copenhagen, Denmark Presentation prepared for the 59th ... This session is part of the Cohere Labs Open Science Community Summer School, a

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CDC2021 — Distributed Learning of Optimal Controls for Linear Systems
CDC2021 - Xiang Huo - Presentation
Optimal Coded Computing and Scheduling for Distributed Learning over Wireless Edge Networks
Learning Dynamic-Objective Policies from a Class of Optimal Trajectories
DLFi - The Distributed Learning Framework
Learning Time-Optimal Online Replanning for Distributed MPCC of Quadrotors
'Distributed Learning for Optimal Planning in Persistent Cooperative Missions" with Yasin Yazıcıoğlu
Scalable Distributed Control and Learning of Networked Dynamical Systems
Bernhard Haeupler: Universally-Optimal Distributed Optimization
Conference on Decision and Control (CDC) 2021 - GNN-RL for Autonomous Mobility on Demand Systems
How to Get Started with Distributed Training at Scale | Ray Summit 2025
Vladimir Dvorkin: Differentially Private Distributed Optimal Power Flow
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CDC2021 — Distributed Learning of Optimal Controls for Linear Systems

CDC2021 — Distributed Learning of Optimal Controls for Linear Systems

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CDC2021 - Xiang Huo - Presentation

CDC2021 - Xiang Huo - Presentation

CDC2021

Optimal Coded Computing and Scheduling for Distributed Learning over Wireless Edge Networks

Optimal Coded Computing and Scheduling for Distributed Learning over Wireless Edge Networks

Presented by our PhD student, Nguyen Van Huynh, at IEEE Globecom Conference 2021 This paper proposes a novel framework ...

Learning Dynamic-Objective Policies from a Class of Optimal Trajectories

Learning Dynamic-Objective Policies from a Class of Optimal Trajectories

Presented at the 59th IEEE Conference on Decision and Control. https://arxiv.org/abs/1902.10139.

DLFi - The Distributed Learning Framework

DLFi - The Distributed Learning Framework

DLFi is a Privacy-Preserving AI-as-a-Service (PP-AIaaS) solution. It provides a training environment on remote sites without ...

Learning Time-Optimal Online Replanning for Distributed MPCC of Quadrotors

Learning Time-Optimal Online Replanning for Distributed MPCC of Quadrotors

Learning

'Distributed Learning for Optimal Planning in Persistent Cooperative Missions" with Yasin Yazıcıoğlu

'Distributed Learning for Optimal Planning in Persistent Cooperative Missions" with Yasin Yazıcıoğlu

Part of the Minnesota Robotics Institute's Seminar Series, the University of Minnesota's Dr. Yasin Yazıcıoğlu shares his research in ...

Scalable Distributed Control and Learning of Networked Dynamical Systems

Scalable Distributed Control and Learning of Networked Dynamical Systems

Speaker: Professor Na Li, Harvard University Time: February 15, 2023 (3pm UTC)

Bernhard Haeupler: Universally-Optimal Distributed Optimization

Bernhard Haeupler: Universally-Optimal Distributed Optimization

CMU Theory Lunch talk from February 23, 2022 by Bernhard Haeupler: Universally-

Conference on Decision and Control (CDC) 2021 - GNN-RL for Autonomous Mobility on Demand Systems

Conference on Decision and Control (CDC) 2021 - GNN-RL for Autonomous Mobility on Demand Systems

Autonomous mobility-on-demand (AMoD) systems represent a rapidly developing mode of transportation wherein travel requests ...

How to Get Started with Distributed Training at Scale | Ray Summit 2025

How to Get Started with Distributed Training at Scale | Ray Summit 2025

Slides: https://drive.google.com/file/d/1jmA5vKn_mKl6qgFQdGBd0mnTNBGOLU9y/view?usp=sharing At Ray Summit 2025, ...

Vladimir Dvorkin: Differentially Private Distributed Optimal Power Flow

Vladimir Dvorkin: Differentially Private Distributed Optimal Power Flow

Speaker: Vladimir Dvorkin (PhD Student at DTU) November 2020, Copenhagen, Denmark Presentation prepared for the 59th ...

Arthur Douillard - Distributed Training in Machine Learning

Arthur Douillard - Distributed Training in Machine Learning

This session is part of the Cohere Labs Open Science Community Summer School, a