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

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

17 September 2021
Javier Yu
Joseph A. Vincent
Mac Schwager
ArXivPDFHTML

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
RAMEN: Real-time Asynchronous Multi-agent Neural Implicit Mapping
Hongrui Zhao
Boris Ivanovic
Negar Mehr
81
0
0
26 Feb 2025
Edge AI Collaborative Learning: Bayesian Approaches to Uncertainty
  Estimation
Edge AI Collaborative Learning: Bayesian Approaches to Uncertainty Estimation
Gleb I. Radchenko
Victoria Andrea Fill
14
0
0
11 Oct 2024
Distributed NeRF Learning for Collaborative Multi-Robot Perception
Distributed NeRF Learning for Collaborative Multi-Robot Perception
Hongrui Zhao
Boris Ivanovic
Negar Mehr
15
0
0
30 Sep 2024
Federated Multi-Agent Mapping for Planetary Exploration
Federated Multi-Agent Mapping for Planetary Exploration
Tiberiu-Ioan Szatmari
Abhishek Cauligi
FedML
AI4CE
24
0
0
02 Apr 2024
Uncertainty Estimation in Multi-Agent Distributed Learning for
  AI-Enabled Edge Devices
Uncertainty Estimation in Multi-Agent Distributed Learning for AI-Enabled Edge Devices
Gleb I. Radchenko
Victoria Andrea Fill
20
1
0
14 Mar 2024
Decentralized and Lifelong-Adaptive Multi-Agent Collaborative Learning
Decentralized and Lifelong-Adaptive Multi-Agent Collaborative Learning
Shuo Tang
Rui Ye
Chenxin Xu
Xiaowen Dong
Siheng Chen
Yanfeng Wang
23
0
0
11 Mar 2024
Hierarchical Large Language Models in Cloud Edge End Architecture for
  Heterogeneous Robot Cluster Control
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
10
0
0
06 Feb 2024
Distributed Markov Chain Monte Carlo Sampling based on the Alternating
  Direction Method of Multipliers
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
8
0
0
29 Jan 2024
Uncertainty Estimation in Multi-Agent Distributed Learning
Uncertainty Estimation in Multi-Agent Distributed Learning
Gleb I. Radchenko
Victoria Andrea Fill
17
0
0
22 Nov 2023
Connected Autonomous Vehicle Motion Planning with Video Predictions from
  Smart, Self-Supervised Infrastructure
Connected Autonomous Vehicle Motion Planning with Video Predictions from Smart, Self-Supervised Infrastructure
Jiankai Sun
Shreyas Kousik
David Fridovich-Keil
Mac Schwager
8
2
0
14 Sep 2023
Distributed Variational Inference for Online Supervised Learning
Distributed Variational Inference for Online Supervised Learning
P. Paritosh
Nikolay A. Atanasov
Sonia Martinez
11
1
0
05 Sep 2023
Distributed Optimization Methods for Multi-Robot Systems: Part II -- A
  Survey
Distributed Optimization Methods for Multi-Robot Systems: Part II -- A Survey
O. Shorinwa
Trevor Halsted
Javier Yu
Mac Schwager
8
18
0
26 Jan 2023
Distributed Optimization Methods for Multi-Robot Systems: Part I -- A
  Tutorial
Distributed Optimization Methods for Multi-Robot Systems: Part I -- A Tutorial
O. Shorinwa
Trevor Halsted
Javier Yu
Mac Schwager
14
19
0
26 Jan 2023
Heterogeneous Multi-Robot Reinforcement Learning
Heterogeneous Multi-Robot Reinforcement Learning
Matteo Bettini
Ajay Shankar
Amanda Prorok
12
39
0
17 Jan 2023
Self-Supervised Traffic Advisors: Distributed, Multi-view Traffic
  Prediction for Smart Cities
Self-Supervised Traffic Advisors: Distributed, Multi-view Traffic Prediction for Smart Cities
Jiankai Sun
Shreyas Kousik
David Fridovich-Keil
Mac Schwager
8
5
0
13 Apr 2022
Revisiting Parameter Sharing in Multi-Agent Deep Reinforcement Learning
Revisiting Parameter Sharing in Multi-Agent Deep Reinforcement Learning
J. K. Terry
Nathaniel Grammel
Sanghyun Son
Benjamin Black
Aakriti Agrawal
18
0
0
27 May 2020
Neural-Swarm: Decentralized Close-Proximity Multirotor Control Using
  Learned Interactions
Neural-Swarm: Decentralized Close-Proximity Multirotor Control Using Learned Interactions
Guanya Shi
Wolfgang Hönig
Yisong Yue
Soon-Jo Chung
50
65
0
06 Mar 2020
Decentralized Non-communicating Multiagent Collision Avoidance with Deep
  Reinforcement Learning
Decentralized Non-communicating Multiagent Collision Avoidance with Deep Reinforcement Learning
Yu Fan Chen
Miao Liu
Michael Everett
Jonathan P. How
173
582
0
26 Sep 2016
Linear Convergence of Gradient and Proximal-Gradient Methods Under the
  Polyak-Łojasiewicz Condition
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark W. Schmidt
114
1,190
0
16 Aug 2016
1