Results 131 to 140 of about 31,140,578 (184)

Asynchronous proximal federated aggregation for heterogeneous healthcare networks. [PDF]

Front Digit Health
Sreelakshmi M, Delhibabu R.
europepmc   +1 more source

FedAK: a semi-supervised one-shot framework for heterogeneous federated learning via feature-level attention-based knowledge distillation. [PDF]

Sci Rep
Salman H, Pradat-Peyre JF, Guehis S, Charara N, Zaki C, Nasser A.   +5 more
europepmc   +1 more source

HybridTrust: on-device federated learning with crypto-agile security for legacy and quantum-safe medical devices. [PDF]

Sci Rep
Khan UH, Khan R, Chelloug SA, Alturise F, Khan S, Alkhalaf S.   +5 more
europepmc   +1 more source

Federated TinyML and digital twin framework for secure and resilient IoMT-based ICU monitoring. [PDF]

Sci Rep
Khan UH, Khan R, Alsaedi T, Chelloug SA, Alturise F, Alkhalaf S.   +5 more
europepmc   +1 more source

A hierarchical federated learning framework with FedNova, game-theoretic matching, and QKD-assisted privacy for the internet of vehicles. [PDF]

Front Artif Intell
Jai Vinita L, Vetriselvi V.
europepmc   +1 more source

Multi-scenario evaluation of federated learning for privacy-preserving malaria prediction with Ghana DHS data. [PDF]

PLOS Digit Health
Kovor DK, Osei EO.
europepmc   +1 more source

Federated Random Forest on Non-IID Data

KIISE Transactions on Computing Practices
Penjan Antonio Eng Lim, Cheong-Hee Park
openaire   +1 more source

Federated Anomaly Detection for IoT-Enabled EV Charging Cybersecurity Under Aggressive and Stealth Cyberattacks. [PDF]

Sensors (Basel)
Al Qwaid M, Ramasamy G, Hossen MS.
europepmc   +1 more source

Communication-Efficient Federated Learning with Dual-Sided Sparse Aggregation for Edge Sensing Systems. [PDF]

Sensors (Basel)
Zhao H, Li J.
europepmc   +1 more source

GA-AFedOD: gradient-aligned active federated learning for resource-aware object detection in edge industrial IoT. [PDF]

Front Artif Intell
Wang Z, Yuan X, Chen J.
europepmc   +1 more source