Results 71 to 80 of about 14,848 (289)
Personalized Federated Learning via Backbone Self-Distillation
In practical scenarios, federated learning frequently necessitates training personalized models for each client using heterogeneous data. This paper proposes a backbone self-distillation approach to facilitate personalized federated learning. In this approach, each client trains its local model and only sends the backbone weights to the server.
Pengju Wang +4 more
openaire +2 more sources
Imaging of Biphoton States: Fundamentals and Applications
Quantum states of two photons exhibit a rich polarization and spatial structure, which provides a fundamental resource of strongly correlated and entangled states. This review analyzes the physics of these intriguing properties and explores the various techniques and technologies available to measure them, including the state of the art of their ...
Alessio D'Errico, Ebrahim Karimi
wiley +1 more source
Sustainable Catalyst‐Free PLG Networks: Recyclability, Biodegradability, and Functional Performance
A catalyst‐additive free covalent adaptable network is developed from star‐shaped poly(lactide‐co‐glycolide) cross‐linked with pyromellitic dianhydride, enabling internal carboxylic acid‐driven transesterification. The resulting biodegradable network exhibits mechanical robustness (Young's modulus ≈1.6 GPa), complete recyclability, rapid biodegradation
Lars Schwarzer +2 more
wiley +1 more source
In data-scarcity scenarios, few-shot object detection (FSOD) methods exhibit a notable advantage in alleviating the over-fitting problem. Currently, research on FSOD in the field of remote sensing is advancing rapidly and FSOD methods based on the fine ...
Hao Guo +3 more
doaj +1 more source
Synthesis and characterization of light‐responsive donor–acceptor Stenhouse adducts (DASA)‐coated chlorhexidine‐loaded silica nanoparticles. Such a controllable drug‐delivery system enables the release of the antimicrobial drug on demand and in consecutive cycles, thereby maintaining the concentration within the therapeutic window.
Michèle Clerc +9 more
wiley +1 more source
A Deep Semantic Segmentation Approach to Map Forest Tree Dieback in Sentinel-2 Data
Massive tree dieback events triggered by various disturbance agents, such as insect outbreaks, pests, fires, and windstorms, have recently compromised the health of forests in numerous countries with a significant impact on ecosystems.
Giuseppina Andresini +2 more
doaj +1 more source
The citric acid/urea (CA‐Urea) precursor system offers a versatile, scalable route to carbon dots with tunable luminescence and multifunctionality. Mechanistic insights into precursor chemistry and reaction parameters have enabled doping, surface modification, and hybridization strategies, yielding CDs for luminescent devices, sensing, catalysis ...
Yupeng Liu +10 more
wiley +1 more source
Interphase chemistry governs the stability of multivalent metal batteries. We summarize state‐of‐the‐art developments in calcium and magnesium metal batteries by focusing on the correlation among electrolytes, interphase layers, and the electrochemical performance of corresponding metal anodes.
Huijun Lin +4 more
wiley +1 more source
GNN’s Uncertainty Quantification Using Self-distillation
Graph Neural Networks (GNNs) have shown remarkable performance in the healthcare domain. However, what remained challenging is quantifying the predictive uncertainty of GNNs, which is an important aspect of trustworthiness in clinical settings. While Bayesian and ensemble methods can be used to quantify uncertainty, they are computationally expensive ...
Hirad Daneshvar, Reza Samavi
openaire +2 more sources
The role of novel thiophene‐based ligands with halogen substitutions in enhancing the chiroptical and optoelectronic properties of 2D chiral HOIPs has been investigated. By tailoring ligand design, enhanced CD and CPL properties are achieved, with improved CPL discrimination in photodetectors.
Boesung Kwon +4 more
wiley +1 more source

