no code implementations • 20 May 2024 • Adiba Orzikulova, Jaehyun Kwak, Jaemin Shin, Sung-Ju Lee
To address these issues, we introduce FLISM, a framework designed to enable multimodal FL with incomplete modalities.
no code implementations • 3 Mar 2024 • Adiba Orzikulova, Han Xiao, Zhipeng Li, Yukang Yan, Yuntao Wang, Yuanchun Shi, Marzyeh Ghassemi, Sung-Ju Lee, Anind K Dey, Xuhai "Orson" Xu
Participants preferred the adaptive interventions and rated the system highly on intervention time accuracy, effectiveness, and level of trust.
no code implementations • 1 Mar 2024 • Adiba Orzikulova, Diana A. Vasile, Fahim Kawsar, Chulhong Min
As wearable devices become increasingly miniaturized and powerful, a new opportunity arises for instant and dynamic device-to-device collaboration and human-to-device interaction.
no code implementations • 22 Nov 2021 • Taesik Gong, Yewon Kim, Adiba Orzikulova, Yunxin Liu, Sung Ju Hwang, Jinwoo Shin, Sung-Ju Lee
However, various factors such as different users, devices, and environments impact the performance of such applications, thus making the domain shift (i. e., distributional shift between the training domain and the target domain) a critical issue in mobile sensing.