Masaki Furukawa

Publication Activity (10 Years)

Years Active: 2006-2022
Publications (10 Years): 4

Top Topics

Weakly Supervised

Reinforcement Learning

Distributed Environment

Top Venues

Int. J. Netw. Comput.

Publications

Masaki Furukawa, Hiroki Matsutani
Accelerating Distributed Deep Reinforcement Learning by In-Network Experience Sampling. PDP (2022)
Masaki Furukawa, Hiroki Matsutani
A DPDK-Based Acceleration Method for Experience Sampling of Distributed Reinforcement Learning. CoRR (2021)
Masaki Furukawa, Tomoya Itsubo, Hiroki Matsutani
An In-Network Parameter Aggregation using DPDK for Multi-GPU Deep Learning. Int. J. Netw. Comput. 11 (2) (2021)
Masaki Furukawa, Tomoya Itsubo, Hiroki Matsutani
An In-Network Parameter Aggregation using DPDK for Multi-GPU Deep Learning. CANDAR (2020)
Masahiro Yamaguchi, Ryo Iwama, Hiroshi Kanazawa, Norihito Fujikawa, Hiroyuki Fukuda, Hideaki Haneishi, Nagaaki Ohyama, Hidefumi Wada, Takeshi Kambara, Michiko Aihara, Yuko Yamakawa, Akinobu Nemoto, Masaki Furukawa, Zenro Ikezawa
Color reproducibility of skin lesions in multispectral video: Experimental evaluation. Color Imaging Conference (2006)