scholarly journals Federated Reinforcement Distillation with Proxy Experience Memory

2020 ◽  
Author(s):  
Han Cha ◽  
Jihong Park ◽  
Hyesung Kim ◽  
Seong-Lyun Kim ◽  
Mehdi Bennis
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Data Confidentiality ◽  
User Privacy ◽  
Joint Conference ◽  
International Joint

This paper is presented at 28th International Joint Conference on Artificial Intelligence (IJCAI-19) 1st Wksp. Federated Machine Learning for User Privacy and Data Confidentiality (FML'19), Macau, August 2019.

scholarly journals Federated Reinforcement Distillation with Proxy Experience Memory

2020 ◽  
Author(s):  
Han Cha ◽  
Jihong Park ◽  
Hyesung Kim ◽  
Seong-Lyun Kim ◽  
Mehdi Bennis
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Data Confidentiality ◽  
User Privacy ◽  
Joint Conference ◽  
International Joint

This paper is presented at 28th International Joint Conference on Artificial Intelligence (IJCAI-19) 1st Wksp. Federated Machine Learning for User Privacy and Data Confidentiality (FML'19), Macau, August 2019.

The IJCAI-09 Workshop on Learning Structural Knowledge From Observations (STRUCK-09)

AI Magazine ◽  
2010 ◽  
Vol 31 (1) ◽  
pp. 101
Author(s):  
Ugur Kuter ◽  
Hector Munoz-Avila
Keyword(s):  
Artificial Intelligence ◽  
Structural Knowledge ◽  
Group Discussions ◽  
Joint Conference ◽  
International Joint

The IJCAI-09 Workshop on Learning Structural Knowledge From Observations (STRUCK-09) took place as part of the International Joint Conference on Artificial Intelligence (IJCAI-09) on July 12 in Pasadena, California. The workshop program included paper presentations, discussion sessions about those papers, group discussions about two selected topic and a joint discussion.

Sign in / Sign up

Export Citation Format

Share Document