DiNNO: Distributed Neural Network Optimization for Multi-Robot Collaborative Learning

17 September 2021

Papers citing "DiNNO: Distributed Neural Network Optimization for Multi-Robot Collaborative Learning"

19 / 19 papers shown

Title
RAMEN: Real-time Asynchronous Multi-agent Neural Implicit Mapping Hongrui Zhao Boris Ivanovic Negar Mehr 95 0 0 26 Feb 2025
Edge AI Collaborative Learning: Bayesian Approaches to Uncertainty Estimation Gleb I. Radchenko Victoria Andrea Fill 26 0 0 11 Oct 2024
Distributed NeRF Learning for Collaborative Multi-Robot Perception Hongrui Zhao Boris Ivanovic Negar Mehr 33 1 0 30 Sep 2024
Federated Multi-Agent Mapping for Planetary Exploration Tiberiu-Ioan Szatmari Abhishek Cauligi FedML AI4CE 37 0 0 02 Apr 2024
Uncertainty Estimation in Multi-Agent Distributed Learning for AI-Enabled Edge Devices Gleb I. Radchenko Victoria Andrea Fill 40 1 0 14 Mar 2024
Decentralized and Lifelong-Adaptive Multi-Agent Collaborative Learning Shuo Tang Rui Ye Chenxin Xu Xiaowen Dong Siheng Chen Yanfeng Wang 36 0 0 11 Mar 2024
Hierarchical Large Language Models in Cloud Edge End Architecture for Heterogeneous Robot Cluster Control Zhirong Luan Yujun Lai Rundong Huang Yan Yan Jingwei Wang Jizhou Lu Badong Chen 24 1 0 06 Feb 2024
Distributed Markov Chain Monte Carlo Sampling based on the Alternating Direction Method of Multipliers Alexandros E. Tzikas Licio Romao Mert Pilanci Alessandro Abate Mykel J. Kochenderfer 31 0 0 29 Jan 2024
Uncertainty Estimation in Multi-Agent Distributed Learning Gleb I. Radchenko Victoria Andrea Fill 25 0 0 22 Nov 2023
Connected Autonomous Vehicle Motion Planning with Video Predictions from Smart, Self-Supervised Infrastructure Jiankai Sun Shreyas Kousik David Fridovich-Keil Mac Schwager 28 2 0 14 Sep 2023
Distributed Variational Inference for Online Supervised Learning P. Paritosh Nikolay A. Atanasov Sonia Martinez 27 1 0 05 Sep 2023
Distributed Optimization Methods for Multi-Robot Systems: Part II -- A Survey O. Shorinwa Trevor Halsted Javier Yu Mac Schwager 16 18 0 26 Jan 2023
Distributed Optimization Methods for Multi-Robot Systems: Part I -- A Tutorial O. Shorinwa Trevor Halsted Javier Yu Mac Schwager 32 19 0 26 Jan 2023
Heterogeneous Multi-Robot Reinforcement Learning Matteo Bettini Ajay Shankar Amanda Prorok 22 40 0 17 Jan 2023
Self-Supervised Traffic Advisors: Distributed, Multi-view Traffic Prediction for Smart Cities Jiankai Sun Shreyas Kousik David Fridovich-Keil Mac Schwager 24 5 0 13 Apr 2022
Revisiting Parameter Sharing in Multi-Agent Deep Reinforcement Learning J. K. Terry Nathaniel Grammel Sanghyun Son Benjamin Black Aakriti Agrawal 30 0 0 27 May 2020
Neural-Swarm: Decentralized Close-Proximity Multirotor Control Using Learned Interactions Guanya Shi Wolfgang Hönig Yisong Yue Soon-Jo Chung 53 65 0 06 Mar 2020
Decentralized Non-communicating Multiagent Collision Avoidance with Deep Reinforcement Learning Yu Fan Chen Miao Liu Michael Everett Jonathan P. How 175 583 0 26 Sep 2016
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark W. Schmidt 133 1,198 0 16 Aug 2016