Diagnosing Machine Learning Problems in Federated Learning Systems: A Case Study

Diagnosing Machine Learning Problems in Federated Learning Systems: A Case Study

Saved in:

Bibliographic Details
Main Authors:	Karolina Bogacka, Anastasiya Danilenka, Katarzyna Wasielewska-Michniewska
Format:	Article
Language:	English
Published:	Polish Information Processing Society 2023-09-01
Series:	Annals of computer science and information systems
Online Access:	https://annals-csis.org/Volume_35/drp/pdf/722.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

One-shot federated learning with self-adversarial data
by: Anastasiya Danilenka, et al.
Published: (2023-09-01)

Mitigating the effects of non-IID data in federated learning with a self-adversarial balancing method
by: Anastasiya Danilenka
Published: (2023-09-01)

Self-Supervised Asynchronous Federated Learning for Diagnosing Partial Discharge in Gas-Insulated Switchgear
by: Van Nghia Ha, et al.
Published: (2025-06-01)

Distributed consensus problem with caching on federated learning framework
by: Xin Yan, et al.
Published: (2022-04-01)

Vertical Velocity Diagnosed From Surface Data With Machine Learning
by: Jing He, et al.
Published: (2024-03-01)

Evaluating Deep Learning and Machine Learning Models in Federated Learning for Credit Card Fraud Detection: A Comparative Study
by: Sener ALI
Published: (2025-01-01)

COVID-19 detection using federated machine learning.
by: Mustafa Abdul Salam, et al.
Published: (2021-01-01)

Randomized Quantization for Privacy in Resource Constrained Machine Learning at-the-Edge and Federated Learning
by: Ce Feng, et al.
Published: (2025-01-01)

The potential of machine learning in diagnosing neurological and psychiatric diseases: a review
by: Claudia Ricetti, et al.
Published: (2025-06-01)

Using Machine Learning to Diagnose Autism Based on Eye Tracking Technology
by: Ameera S. Jaradat, et al.
Published: (2024-12-01)

Extracting Knowledge from Machine Learning Models to Diagnose Breast Cancer
by: José Manuel Martínez-Ramírez, et al.
Published: (2025-01-01)

Federated Learning: The Monobloc of Artificial Intelligence & Machine Learning (AIML) Applications in Health Care
by: Minu Bajpai, et al.
Published: (2025-01-01)

Radiomics-based machine learning model for diagnosing internal abdominal hernias: a retrospective study
by: Zhong-Kai Ni, et al.
Published: (2025-05-01)

Advances in Application of Federated Machine Learning for Oncology and Cancer Diagnosis
by: Mohammad Nasajpour, et al.
Published: (2025-06-01)

Federated Learning in Dynamic and Heterogeneous Environments: Advantages, Performances, and Privacy Problems
by: Fabio Liberti, et al.
Published: (2024-09-01)

An Elderly Fall Detection Method Based on Federated Learning and Extreme Learning Machine (Fed-ELM)
by: Zhigang Yu, et al.
Published: (2022-01-01)

Diagnosing schizophrenia with routine blood tests: a comparative analysis of machine learning algorithms
by: Yavuz Selim Ogur, et al.
Published: (2025-08-01)

Privacy Issues, Attacks, Countermeasures and Open Problems in Federated Learning: A Survey
by: Blessing Guembe, et al.
Published: (2024-12-01)

Identifying and Diagnosing Lytic Cell Death Genes in Atherosclerosis Using Machine Learning and Bioinformatics
by: Zhang G, et al.
Published: (2025-07-01)

Imbalanced Data Problem in Machine Learning: A Review
by: Manahel Altalhan, et al.
Published: (2025-01-01)

Federated Learning-Based Credit Card Fraud Detection: A Comparative Analysis of Advanced Machine Learning Models
by: Zheng Han
Published: (2025-01-01)

Machine Learning and Deep Learning Optimization Algorithms for Unconstrained Convex Optimization Problem
by: Kainat Naeem, et al.
Published: (2025-01-01)

Ewa Letkiewicz, "Konteksty polskiej biżuterii patriotycznej. Konfederacja barska i powstania narodowe w XIX wieku. Historia kulturowa"
by: Katarzyna Bogacka
Published: (2022-12-01)

Federated learning and non-federated learning based power forecasting of photovoltaic/wind power energy systems: A systematic review
by: Ferial ElRobrini, et al.
Published: (2024-12-01)

Federated learning system on autonomous vehicles for lane segmentation
by: Mohab M. Eid Kishawy, et al.
Published: (2024-10-01)

Using Federated Learning for Collaborative Intrusion Detection Systems
by: Matteo Rizzato, et al.
Published: (2023-06-01)

Diagnosing prostate cancer in the PSA gray zone through machine learning and transrectal ultrasound video
by: Qin Wu, et al.
Published: (2025-05-01)

The Role of the School Counselor in Diagnosing the Aggressive Behavior and Learning Disabilities: A Case Study in Algeria
by: Mhamel Imad Eddine
Published: (2024-03-01)

Survey on data heterogeneity problems and personalization based solutions of federated learning in Internet of vehicles
by: LIU Miao, et al.
Published: (2024-10-01)

Exploring the Challenges of Diagnosing Thyroid Disease with Imbalanced Data and Machine Learning: A Systematic Literature Review
by: Dhekre Saber Saleh, et al.
Published: (2024-03-01)

Machine learning models for diagnosing lymph node recurrence in postoperative PTC patients: a radiomic analysis
by: Feng Pang, et al.
Published: (2025-08-01)

Accelerating Fair Federated Learning: Adaptive Federated Adam
by: Li Ju, et al.
Published: (2024-01-01)

Optimizing resource allocation in industrial IoT with federated machine learning and edge computing integration
by: Ala'a R. Al-Shamasneh, et al.
Published: (2025-09-01)

kMoL: an open-source machine and federated learning library for drug discovery
by: Romeo Cozac, et al.
Published: (2025-02-01)

Federated Learning for privacy-Friendly Health Apps: A Case Study on Ovulation Tracking
by: Nikolaos Pavlidis, et al.
Published: (2025-01-01)

Federated learning in food research
by: Zuzanna Fendor, et al.
Published: (2025-10-01)

Federated Learning for Surface Roughness
by: Kai-Lun Cheng, et al.
Published: (2025-06-01)

Survey of federated learning research
by: Chuanxin ZHOU, et al.
Published: (2021-10-01)

Hierarchical clustering analysis & machine learning models for diagnosing skeletal classes I and II in German patients
by: Eva Paddenberg-Schubert, et al.
Published: (2025-05-01)

Machine learning model for diagnosing salivary gland adenoid cystic carcinoma based on clinical and ultrasound features
by: Huan-Zhong Su, et al.
Published: (2025-05-01)