Results 151 to 160 of about 13,509 (257)

PFL-NON-IID Framework: Evaluating MOON Algorithm on Handling Non-IID Data Distributions

, 2023
Sheng Chen, Jiancheng Peng, Andi Tong, Cong Wu   +3 more
openaire   +1 more source

The Value of Controlling Wilding Conifers in New Zealand

Australian Journal of Agricultural and Resource Economics, EarlyView.
ABSTRACT Exotic, invasive conifer tree species, known as ‘wilding conifers’, pose a significant threat to natural ecosystems and are costly to manage, creating a need to identify community preferences in order to inform and balance public investment in their control.
Maksym Polyakov, Abbie Rogers, Philip Stahlmann‐Brown, Rowan Sprague, Olivia Burge, Johanna Yletyinen, Duane A. Peltzer   +6 more
wiley   +1 more source

Communication-Efficient Federated Learning with Dual-Sided Sparse Aggregation for Edge Sensing Systems. [PDF]

Sensors (Basel)
Zhao H, Li J.
europepmc   +1 more source

Opening the Door Wider to Community Support of People With Serious Mental Illnesses: What States Can Learn From the IDD Experience

The Milbank Quarterly, EarlyView.
Policy Points The federal government should provide states with authorities under Medicaid that allow greater use of home and community‐based services for people with serious and persistent mental illness. This requires deemphasizing authorities that require budget neutrality in a post‐institutionalization world (Section 1115 waivers) and relying on ...
HAROLD POLLACK, RICHARD FRANK, SHERRY GLIED   +2 more
wiley   +1 more source

Experimentally Validated Quantum-Secure Federated Learning over a Multi-user Quantum Network. [PDF]

Research (Wash D C)
Liu ZP, Cao XY, Liu HW, Sun XR, Bao Y, Shen JY, Lu YS, Yin HL, Chen ZB.   +8 more
europepmc   +1 more source

Not all Temperature Shocks are Alike: Disentangling Heat and High Temperature Shocks and Their Effects on Inflation in Australia

Economic Record, EarlyView.
We study the effects of heat and high temperature shocks on inflation in Australia using monthly, state‐level temperature anomaly data via two stages. In the first stage, we decompose temperature anomalies into orthogonal components using a structural vector autoregression with long‐run restrictions.
Tan Dat Huynh, Mengheng Li
wiley   +1 more source

Quantum federated learning for autonomous vehicle cybersecurity: An analytical review of architectures and threat landscapes. [PDF]

MethodsX
T S, Devadas RM.
europepmc   +1 more source

Graph‐Laplacian modeling of spatiotemporal effects for house price estimation

Real Estate Economics, EarlyView.
Abstract Many variables involve the modeling of spatial effects, and their dynamics over time. This article presents a linear model in which spatiotemporal random effects are modeled by graph‐Laplacians. A graph‐Laplacian flexibly encodes adjacency in both space and time, in our case not depending on unknown parameters. The graph‐Laplacian can be input
Willem P Sijp, Marc K. Francke
wiley   +1 more source

Threshold-adaptive pruning with multi-key homomorphic encryption for communication-efficient secure federated learning. [PDF]

PLoS One
Guo J, Liu R, Xing J.
europepmc   +1 more source

Demand Estimation with Text and Image Data

The RAND Journal of Economics, EarlyView.
ABSTRACT We propose a demand estimation approach that leverages unstructured data to infer substitution patterns. Using pre‐trained deep learning models, we extract embeddings from product images and textual descriptions and incorporate them into a mixed logit demand model.
Giovanni Compiani, Ilya Morozov, Stephan Seiler   +2 more
wiley   +1 more source