Associate Professor Takayuki Nishio Receives the IEEE Transactions on Mobile Computing Best Paper Award 2023

Associate Professor Takayuki Nishio has been awarded the Best Paper Award 2023 from IEEE Transactions on Mobile Computing for his paper titled "Distillation-Based Semi-Supervised Federated Learning for Communication-Efficient Collaborative Training with Non-IID Private Data."

IEEE Transactions on Mobile Computing is a leading journal in the field of mobile computing. This award recognizes outstanding research achievements among the papers published in the journal during 2023.

The awarded research proposes a novel method for federated learning that significantly reduces communication overhead while mitigating performance degradation caused by non-IID client data through the application of knowledge distillation.

Awarded Paper

S. Itahara, T. Nishio, Y. Koda, M. Morikura, and K. Yamamoto, "Distillation-Based Semi-Supervised Federated Learning for Communication-Efficient Collaborative Training with Non-IID Private Data," IEEE Transactions on Mobile Computing, vol. 22, no. 1, pp. 191-205, Jan. 2023.

• Co-Authors:

Mr. Sohei Itahara（Kyoto University alumnus, currently with KDDI Research, Inc.）
Assistant Professor Yusuke Koda（Kyoto University）
Professor Koji Yamamoto（Kyoto Institute of Technology）
Professor Emeritus Masahiro Morikura（Kyoto University）

Related Links

• Researcher Information - Takayuki Nishio｜Science Tokyo STAR Search
• Nishio Laboratory
• Transactions on Mobile Computing｜2023 Best Paper Winners｜Best Paper Award Winners｜IEEE COMPUTER SOCIETY
• "Distillation-Based Semi-Supervised Federated Learning for Communication-Efficient Collaborative Training with Non-IID Private Data,"｜IEEE COMPUTER SOCIETY DIGITAL LIBRARY
• IEEE Transactions on Mobile Computing｜Publication｜IEEE.org
• KDDI Research, Inc.
• KYOTO UNIVERSITY
• KYOTO INSTITUTE OF TECHNOLOGY