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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 13 of 13  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
NS, IN
(Joint)
2024-02-29
10:10
Okinawa Okinawa Convention Center Model Shifting Method in Federated Learning Using Distillation
Hiromichi Yajima (SIT), Shota Ono (The Univ. of Tokyo), Takumi Miyoshi, Taku Yamazaki (SIT) NS2023-186
Due to the drastic increase in the data for machine learning, distributed machine learning such as federated learning ha... [more] NS2023-186
pp.86-89
NS 2023-10-06
10:00
Hokkaido Hokkaidou University + Online
(Primary: On-site, Secondary: Online)
[Poster Presentation] Initial Evaluation of LPWA Sensing System for Plantations
Daiki Sugiyama (Shibaura Inst. of Tech.), Shota Ono, Eri Hosonuma, Yuuki Nishiyama, Kaoru Sezaki (Univ. of Tokyo), Taku Yamazaki, Takumi Miyoshi (Shibaura Inst. of Tech.) NS2023-92
Smart agriculture, which cultivates crops based on information collected by sensors, can improve the efficiency of agric... [more] NS2023-92
pp.117-120
NS 2023-10-06
15:45
Hokkaido Hokkaidou University + Online
(Primary: On-site, Secondary: Online)
Experiment of Group Construction for Location-Based Distributed Machine Learning
Ryota Hasegawa (SIT), Shota Ono (UTokyo), Taku Yamazaki, Takumi Miyoshi (SIT) NS2023-105
Distributed machine learning (DML), which executes learning process by cooperating with multiple computers via a network... [more] NS2023-105
pp.168-171
SeMI, IPSJ-ITS, IPSJ-MBL, IPSJ-DPS 2023-05-18
18:20
Okinawa Okinawa Institute of Science and Technology (OIST)
(Primary: On-site, Secondary: Online)
Mobility-Aware Timing Control of Parameter Aggregation in Edge Federated Learning
Shota Ono (Univ. of Tokyo), Taku Yamazaki, Takumi Miyoshi (Shibaura Inst. of Tech.), Akihito Taya, Yuuki Nishiyama, Kaoru Sezaki (Univ. of Tokyo) SeMI2023-7
Services that utilize region-specific data collected by onboard vehicle sensors have been attracting attention.
In thes... [more]
SeMI2023-7
pp.26-29
ICM 2023-03-17
13:15
Okinawa Okinawa Prefectural Museum and Art Museum
(Primary: On-site, Secondary: Online)
[Encouragement Talk] Evaluating Impact of Users' sojourn time on Learning Performance in Spot-Based Federated Learning
Shota Ono (Univ. of Tokyo), Taku Yamazaki, Takumi Miyoshi (Shibaura Inst. of Tech.), Akihito Taya, Yuuki Nishiyama, Kaoru Sezaki (Univ. of Tokyo) ICM2022-56
In federated learning (FL), each update of the model generates communication, which increases the traffic on the mobile ... [more] ICM2022-56
pp.80-83
ICM 2023-03-17
14:45
Okinawa Okinawa Prefectural Museum and Art Museum
(Primary: On-site, Secondary: Online)
A Location-based Group Construction Method for Distributed Machine Learning
Ryota Hasegawa (SIT), Shota Ono (Univ. of Tokyo), Taku Yamazaki, Takumi Miyoshi (SIT) ICM2022-60
Recently, machine learning (ML) has been utilized in various situations as a technology for learning from large amounts ... [more] ICM2022-60
pp.101-104
ICM 2023-03-17
16:55
Okinawa Okinawa Prefectural Museum and Art Museum
(Primary: On-site, Secondary: Online)
Backoff-based Opportunistic Routing Using Server-controlled Destination Discovery
Takuma Yamazaki (SIT), Eri Hosonuma, Shota Ono (Univ. of Tokyo), Taku Yamazaki, Takumi Miyoshi (SIT) ICM2022-66
Backoff-based opportunistic routing (OR) autonomously selects forwarders based on a random backoff time calculated by co... [more] ICM2022-66
pp.135-138
NS 2022-10-05
17:05
Hokkaido Hokkaidou University + Online
(Primary: On-site, Secondary: Online)
[Invited Lecture] Reducing Device Processing Load and Communication Overhead by Distillation in Federated Learning
Hiromichi Yajima, Takumi Miyoshi, Taku Yamazaki (Shibaura Inst. of Tech.), Shota Ono (The Univ. of Tokyo) NS2022-87
In recent years, machine learning has been used in many cases to discover the rules or to predict future results from a ... [more] NS2022-87
pp.29-32
ICM 2022-03-04
14:30
Online Online [Encouragement Talk] Relay Area Restriction Based on Node Density in Cellular Network Assisted MANET
Shota Ono (Univ. of Tokyo), Taku Yamazaki, Takumi Miyoshi (Shibaura Inst. of Tech.), Yuuki Nishiyama, Kaoru Sezaki (Univ. of Tokyo) ICM2021-55
In recent years, there has been a rapid increase in the number of mobile nodes that are capable of collecting location i... [more] ICM2021-55
pp.68-71
NS 2021-10-07
10:05
Online Online Improving Device Processing Cost by Distillation in Federated Learning
Hiromichi Yajima (Shibaura Inst. Tech), Shota Ono (The Univ. of Tokyo), Takumi Miyoshi, Taku Yamazaki, Thomas Silverston (Shibaura Inst. Tech)
In recent years, machine learning technology has been used in many cases to discover common and hidden patterns and rule... [more]
NS 2021-10-07
11:30
Online Online An SDN-based Routing Method to Reduce Delay for Vehicular Ad Hoc Networks
Kazuya Hirata (Shibaura Inst. Tech.), Shota Ono (The Univ. of Tokyo), Takumi Miyoshi, Taku Yamazaki, Thomas Silverston (Shibaura Inst. Tech.)
 [more]
ICM 2020-03-02
09:20
Okinawa Ohama Nobumoto Memorial Hall
(Cancelled but technical report was issued)
Route Construction Method Based on Traffic Load for Cellular-assisted MANET
Shota Ono (Univ. of Tokyo), Taku Yamazaki, Takumi Miyoshi (Shibaura Inst. of Tech.), Kaoru Sezaki (Univ. of Tokyo) ICM2019-41
MANET (Mobile ad-hoc network) forms an autonomous decentralized network by using wireless nodes. In MANET, some reactive... [more] ICM2019-41
pp.1-4
IN, NS
(Joint)
2019-03-05
13:30
Okinawa Okinawa Convention Center Ad Hoc Routing with Restricted Relay Nodes Based on their Location Information
Shota Ono, Taku Yamazaki, Takumi Miyoshi (Shibaura Inst. Tech.) NS2018-278
In MANET~(mobile ad hoc network), radio interferences and terminal mobility decrease the packet arrival rate due to dyna... [more] NS2018-278
pp.491-494
 Results 1 - 13 of 13  /   
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