Tackling the Unlimited Staleness in Federated Learning with Intertwined Data and Device Heterogeneities

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 […]


Continue.. Tackling the Unlimited Staleness in Federated Learning with Intertwined Data and Device Heterogeneities

Tackling the Unlimited Staleness in Federated Learning with Intertwined Data and Device Heterogeneities

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 […]


Continue.. Tackling the Unlimited Staleness in Federated Learning with Intertwined Data and Device Heterogeneities

ImAge: an imaging approach to quantitate aging and rejuvenation

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 […]


Continue.. ImAge: an imaging approach to quantitate aging and rejuvenation