Kavli Affiliate: Renxin Xu | First 5 Authors: Chen Zhang, Yong Gao, Cheng-Jun Xia, Renxin Xu, | Summary: It was conjectured that the basic units of the ground state of bulk strong matter may be strange-clusters called strangeons, and they can form self-bound strangeon stars that are highly compact. Strangeon stars can develop a strange […]
Kavli Affiliate: Renxin Xu | First 5 Authors: Chen Zhang, Yong Gao, Cheng-Jun Xia, Renxin Xu, | Summary: It was conjectured that the basic units of the ground state of bulk strong matter may be strange-clusters called strangeons, and they can form self-bound strangeon stars that are highly compact. Strangeon stars can develop a strange […]
Kavli Affiliate: Jing Wang | First 5 Authors: Linghao Huang, Jing Wang, , , | Summary: We develop a theory of the nonlinear optical responses in superconducting systems in the presence of a dc supercurrent. The optical transitions between particle-hole pair bands across the superconducting gap are allowed in clean superconductors as the inversion-symmetry-breaking by […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Makars Siskins, Yaroslav Blanter, , | Summary: We developed a theoretical scheme of incorporating the magnetoelastic contribution into the thermal elastic dynamics for the thin membranes of 2D antiferromagnetic material with restricted geometry. We extended the elastic Gr"uneisen relation into an effective version which includes […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Makars Siskins, Yaroslav Blanter, , | Summary: We developed a theoretical scheme of incorporating the magnetoelastic contribution into the thermal elastic dynamics for the thin membranes of 2D antiferromagnetic material with restricted geometry. We extended the elastic Gr"uneisen relation into an effective version which includes […]
Kavli Affiliate: Wei Gao | First 5 Authors: Haoming Wang, Wei Gao, , , | Summary: Federated Learning (FL) can be affected by data and device heterogeneities, caused by clients’ different local data distributions and latencies in uploading model updates (i.e., staleness). Traditional schemes consider these heterogeneities as two separate and independent aspects, but this […]
Kavli Affiliate: Wei Gao | First 5 Authors: Haoming Wang, Wei Gao, , , | Summary: Federated Learning (FL) can be affected by data and device heterogeneities, caused by clients’ different local data distributions and latencies in uploading model updates (i.e., staleness). Traditional schemes consider these heterogeneities as two separate and independent aspects, but this […]
Kavli Affiliate: Wei Gao | First 5 Authors: Haoming Wang, Wei Gao, , , | Summary: The efficiency of Federated Learning (FL) is often affected by both data and device heterogeneities. Data heterogeneity is defined as the heterogeneity of data distributions on different clients. Device heterogeneity is defined as the clients’ variant latencies in uploading […]
Kavli Affiliate: Wei Gao | First 5 Authors: Haoming Wang, Wei Gao, , , | Summary: The efficiency of Federated Learning (FL) is often affected by both data and device heterogeneities. Data heterogeneity is defined as the heterogeneity of data distributions on different clients. Device heterogeneity is defined as the clients’ variant latencies in uploading […]
Kavli Affiliate: Tatyana Sharpee | Authors: Martin Alvarez-Kuglen, Delany Rodriguez, Haodong Qin, Kenta Ninomiya, Lorenzo Fiengo, Chen Farhy, Aaron Havas, Wei-Mien Hsu, Gen-Sheng Feng, Amanda Roberts, Rozalyn M Anderson, Manuel Serrano, Peter D Adams, Tatyana O Sharpee and Alexey Terskikh | Summary: Biomarkers of biological age that predict the risk of disease and expected lifespan […]