Results 241 to 250 of about 31,140,529 (283)
TALE and Hox Transcription Factors Modulate Adult Behaviors in Zebrafish. [PDF]
Behav GenetAdkins AM +6 more
europepmc +1 more source
Game-Theoretic Optimized Federated Learning for Heterogeneous IoT Object Detection. [PDF]
Sensors (Basel)Wang Z, Chen J.
europepmc +1 more source
Robust federated learning for UAV object detection: a joint self-distillation and drift compensation approach. [PDF]
Front NeurorobotHangsun Y +4 more
europepmc +1 more source
Optimization of cross-institutional medical federated learning framework driven by confidential computing. [PDF]
Sci RepXu F, Wei X, Zhao Z, Sun P.
europepmc +1 more source
A Privacy-Preserving Artificial Intelligence-Driven Sensing System for Distributed Multimodal Risk Detection. [PDF]
Sensors (Basel)Zhu Y +6 more
europepmc +1 more source
Federated Learning for non-IID Healthcare Data
International Research Journal of Modernization in Engineering Technology & Scienceopenaire +1 more source
Shallow and Deep Non-IID Learning on Complex Data
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2022 Non-IID (i.i.d.) data holds complex non-IIDness, e.g., couplings and interactions (non-independent) and heterogeneities (not IID drawn from a given distribution).
Longbing Cao +2 more
openaire +3 more sources
Distribution-Regularized Federated Learning on Non-IID Data
2023 IEEE 39th International Conference on Data Engineering (ICDE), 2023 Federated learning (FL) has emerged as a popular machine learning paradigm recently. Compared with traditional distributed learning, its unique challenges mainly lie in communication efficiency and non-IID (heterogeneous data) problem.
Yansheng Wang +6 more
openaire +2 more sources