Results 71 to 80 of about 129,870 (304)

Association Between Liver Function Grade and Post‐Hepatectomy Liver Failure in Patients With Hepatocellular Carcinoma: A Latent Class Analysis

Annals of Gastroenterological Surgery, EarlyView.
We retrospectively analyzed clinical data from patients who underwent hepatectomy for hepatocellular carcinoma (HCC) using LCA‐based grading system. These findings provide a new risk stratification framework for the design of precision surgery to treat patients with HCC.
Ling Liu, Jintao Zheng, Ye Wang, Chenao Yang, Jiachen Zhang, Changku Jia   +5 more
wiley   +1 more source

Federated Neural Architecture Search

, 2020
To preserve user privacy while enabling mobile intelligence, techniques have been proposed to train deep neural networks on decentralized data. However, training over decentralized data makes the design of neural architecture quite difficult as it ...
Bian, Kaigui, Huang, Gang, Liu, Xuanzhe, Mei, Qiaozhu, Xu, Mengwei, Zhao, Yuxin   +5 more
core  

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Gain without Pain: Offsetting DP-injected Nosies Stealthily in Cross-device Federated Learning [PDF]

, 2021
Wenzhuo Yang, Yipeng Zhou, Maio Hu, Di Wu, Xi Zheng, Hui Wang, Song Guo   +6 more
openalex   +1 more source

Federated Learning from Small Datasets

, 2021
Federated learning allows multiple parties to collaboratively train a joint model without sharing local data. This enables applications of machine learning in settings of inherently distributed, undisclosable data such as in the medical domain. In practice, joint training is usually achieved by aggregating local models, for which local training ...
Kamp, Michael, Fischer, Jonas, Vreeken, Jilles   +2 more
openaire   +5 more sources

The Necessity of Dynamic Workflow Managers for Advancing Self‐Driving Labs and Optimizers

Advanced Intelligent Discovery, EarlyView.
We assess the maturity and integration readiness of key methodologies for Materials Acceleration Platforms, highlighting the need for dynamic workflow managers. Demonstrating this, we integrate PerQueue into a color‐mixing robot, showing how flexible orchestration improves coordination and optimization.
Simon K. Steensen, Patrick W. V. Butler, Jesper R. Pedersen, Nis Fisker‐Bødker, Tejs Vegge, Jin Hyun Chang, Ivano E. Castelli   +6 more
wiley   +1 more source

An Watermarking Framework of Active Protection Model for Secure Federated Learning [PDF]

Jisuanji gongcheng
As a new paradigm in deep learning, federated learning allows multiple parties to jointly train deep learning models while ensuring that data remains on the clients' local devices.
CHEN Xianyi, DING Sizhe, WANG Kang, YAN Leiming, FU Zhangjie
doaj   +1 more source

Threshold-Based Data Exclusion Approach for Energy-Efficient Federated\n Edge Learning [PDF]

, 2021
Abdullatif Albaseer, Mohamed Abdallah, Ala Al‐Fuqaha, Aiman Erbad   +3 more
openalex   +1 more source

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

Holistic analysis on the sustainability of Federated Learning across AI product lifecycle [PDF]

, 2023
Hongliu Cao
openalex   +1 more source