Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, M. Cenk Gursoy, Senem Velipasalar, , | Summary: Federated learning has attracted growing interest as it preserves the clients’ privacy. As a variant of federated learning, federated transfer learning utilizes the knowledge from similar tasks and thus has also been intensively studied. However, due to […]
Kavli Affiliate: Feng Wang | First 5 Authors: Zheqi Lv, Feng Wang, Kun Kuang, Yongwei Wang, Zhengyu Chen | Summary: Deploying machine learning models on mobile devices has gained increasing attention. To tackle the model generalization problem with the limitations of hardware resources on the device, the device model needs to be lightweight by techniques […]
Kavli Affiliate: Feng Wang | First 5 Authors: Zheqi Lv, Wenqiao Zhang, Shengyu Zhang, Kun Kuang, Feng Wang | Summary: Device Model Generalization (DMG) is a practical yet under-investigated research topic for on-device machine learning applications. It aims to improve the generalization ability of pre-trained models when deployed on resource-constrained devices, such as improving the […]
Kavli Affiliate: Feng Wang | First 5 Authors: Zheqi Lv, Wenqiao Zhang, Shengyu Zhang, Kun Kuang, Feng Wang | Summary: Device Model Generalization (DMG) is a practical yet under-investigated research topic for on-device machine learning applications. It aims to improve the generalization ability of pre-trained models when deployed on resource-constrained devices, such as improving the […]
Kavli Affiliate: Jie Shan | First 5 Authors: Kaifei Kang, Wenjin Zhao, Yihang Zeng, Kenji Watanabe, Takashi Taniguchi | Summary: Moir’e materials, with superlattice periodicity many times the atomic length scale, have enabled the studies of strong electronic correlations and band topology with unprecedented tunability. However, nonvolatile control of the moir’e potentials, which could allow […]
Kavli Affiliate: Ali Javey | First 5 Authors: Geun Ho Ahn, Alexander D. White, Hyungjin Kim, Naoki Higashitarumizu, Felix M. Mayor | Summary: Many attractive photonics platforms still lack integrated photodetectors due to inherent material incompatibilities and lack of process scalability, preventing their widespread deployment. Here we address the problem of scalably integrating photodetectors in […]
Kavli Affiliate: Rana X. Adhikari | First 5 Authors: Tuvia Gefen, Rajashik Tarafder, Rana X. Adhikari, Yanbei Chen, | Summary: Current laser-interferometric gravitational wave detectors suffer from a fundamental limit to their precision due to the displacement noise of optical elements contributed by various sources. Several schemes for Displacement-Noise Free Interferometers (DFI) have been proposed […]
Kavli Affiliate: Kristin A. Persson | First 5 Authors: Ruo Xi Yang, Matthew K. Horton, Jason Munro, Kristin A. Persson, | Summary: An optical absorption spectrum constitutes one of the most fundamental material characteristics, with relevant applications ranging from material identification to energy harvesting and optoelectronics. However, the database of both experimental and computational spectra […]
Kavli Affiliate: Austin J. Minnich | First 5 Authors: Bekari Gabritchidze, Kieran A. Cleary, Anthony C. Readhead, Austin J. Minnich, | Summary: We report the on-wafer characterization of $S$-parameters and microwave noise temperature ($T_{50}$) of discrete metamorphic InGaAs high electron mobility transistors (mHEMTs) at 40 K and 300 K and over a range of drain-source […]
Kavli Affiliate: Austin J. Minnich | First 5 Authors: Bekari Gabritchidze, Kieran A. Cleary, Anthony C. Readhead, Austin J. Minnich, | Summary: We report the on-wafer characterization of $S$-parameters and microwave noise temperature ($T_{50}$) of discrete metamorphic InGaAs high electron mobility transistors (mHEMTs) at 40 K and 300 K and over a range of drain-source […]