Zobrazeno 1 - 10
of 10 309
pro vyhledávání: '"M. Hadi"'
Autor:
Hill, Hal1 (AUTHOR), Pangestu, Mari2 (AUTHOR)
Publikováno v:
Bulletin of Indonesian Economic Studies. Aug2010, Vol. 46 Issue 2, p171-179. 9p.
Autor:
Saadati, Yasaman, Amini, M. Hadi
Federated Learning (FL) is a decentralized learning approach that protects sensitive information by utilizing local model parameters rather than sharing clients' raw datasets. While this privacy-preserving method is widely employed across various app
Externí odkaz:
http://arxiv.org/abs/2411.12244
Autor:
Mia, Md Jueal, Amini, M. Hadi
Federated Learning has emerged as a leading approach for decentralized machine learning, enabling multiple clients to collaboratively train a shared model without exchanging private data. While FL enhances data privacy, it remains vulnerable to infer
Externí odkaz:
http://arxiv.org/abs/2411.05260
Autor:
Karstensen, Lennart, Robertshaw, Harry, Hatzl, Johannes, Jackson, Benjamin, Langejürgen, Jens, Breininger, Katharina, Uhl, Christian, Sadati, S. M. Hadi, Booth, Thomas, Bergeles, Christos, Mathis-Ullrich, Franziska
Endovascular interventions are a life-saving treatment for many diseases, yet suffer from drawbacks such as radiation exposure and potential scarcity of proficient physicians. Robotic assistance during these interventions could be a promising support
Externí odkaz:
http://arxiv.org/abs/2410.01956
Federated learning is emerging as a promising machine learning technique in the medical field for analyzing medical images, as it is considered an effective method to safeguard sensitive patient data and comply with privacy regulations. However, rece
Externí odkaz:
http://arxiv.org/abs/2409.18907
Federated learning (FL) has emerged as a promising framework for distributed machine learning. It enables collaborative learning among multiple clients, utilizing distributed data and computing resources. However, FL faces challenges in balancing pri
Externí odkaz:
http://arxiv.org/abs/2409.13133
Autor:
Ghereghlou, Kioumars
Publikováno v:
Journal of the American Oriental Society, 2020 Apr 01. 140(2), 521-523.
Large Language Models (LLMs) have demonstrated extraordinary capabilities and contributed to multiple fields, such as generating and summarizing text, language translation, and question-answering. Nowadays, LLM is becoming a very popular tool in comp
Externí odkaz:
http://arxiv.org/abs/2402.00888
Federated learning (FL) is gaining increasing popularity in the medical domain for analyzing medical images, which is considered an effective technique to safeguard sensitive patient data and comply with privacy regulations. However, several recent s
Externí odkaz:
http://arxiv.org/abs/2311.06643