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Sim-to-Real Transfer in Multi-agent Reinforcement Networking for
  Federated Edge Computing

Sim-to-Real Transfer in Multi-agent Reinforcement Networking for Federated Edge Computing

18 October 2021
Pinyarash Pinyoanuntapong
Tagore Pothuneedi
Ravikumar Balakrishnan
Minwoo Lee
Chong Chen
Pu Wang
ArXivPDFHTML

Papers citing "Sim-to-Real Transfer in Multi-agent Reinforcement Networking for Federated Edge Computing"

5 / 5 papers shown
Title
EdgeML: Towards Network-Accelerated Federated Learning over Wireless
  Edge
EdgeML: Towards Network-Accelerated Federated Learning over Wireless Edge
Pinyarash Pinyoanuntapong
Prabhu Janakaraj
Ravikumar Balakrishnan
Minwoo Lee
Chong Chen
Pu Wang
44
13
0
14 Oct 2021
RetinaGAN: An Object-aware Approach to Sim-to-Real Transfer
RetinaGAN: An Object-aware Approach to Sim-to-Real Transfer
Daniel Ho
Kanishka Rao
Zhuo Xu
Eric Jang
Mohi Khansari
Yunfei Bai
GAN
LM&Ro
71
100
0
06 Nov 2020
LEAF: A Benchmark for Federated Settings
LEAF: A Benchmark for Federated Settings
S. Caldas
Sai Meher Karthik Duddu
Peter Wu
Tian Li
Jakub Konecný
H. B. McMahan
Virginia Smith
Ameet Talwalkar
FedML
134
1,417
0
03 Dec 2018
Federated Learning: Strategies for Improving Communication Efficiency
Federated Learning: Strategies for Improving Communication Efficiency
Jakub Konecný
H. B. McMahan
Felix X. Yu
Peter Richtárik
A. Suresh
Dave Bacon
FedML
286
4,636
0
18 Oct 2016
OpenAI Gym
OpenAI Gym
Greg Brockman
Vicki Cheung
Ludwig Pettersson
Jonas Schneider
John Schulman
Jie Tang
Wojciech Zaremba
OffRL
ODL
204
5,073
0
05 Jun 2016
1