Results 241 to 250 of about 3,147,688 (366)
Speed up integer-arithmetic-only inference via bit-shifting. [PDF]
Song M +5 more
europepmc +1 more source
Adaptive Blockwise Task-interleaved Pipeline Parallelism [PDF]
Ding Tang +6 more
openalex +1 more source
Traversal Learning Coordination for Lossless and Efficient Distributed Learning
ABSTRACT In this paper, we introduce Traversal Learning (TL), a novel approach designed to address the problem of decreased quality encountered in popular distributed learning (DL) paradigms such as Federated Learning (FL), Split Learning (SL) and SplitFed Learning (SFL).
Erdenebileg Batbaatar +3 more
wiley +1 more source
Advanced Design for High-Performance and AI Chips. [PDF]
Cao Y, Chen Y, Fan X, Fu H, Xu B.
europepmc +1 more source
The creative process of problem framing for innovation: An integrative review and research agenda
Abstract While today's society tends to prioritize problem solving and idea management, framing the problem is often more important than solving it. Problem framing is not a linear process; rather, it requires creativity and the ability to explore multiple dimensions of the problem.
Stefano Magistretti +2 more
wiley +1 more source
A distributed software system for integrating data-intensive imaging methods in a hard X-ray nanoprobe beamline at the SSRF. [PDF]
Zhang P, Jiang Z, He Y, Li A.
europepmc +1 more source
Numerical simulation and parallel implementation of freight train air brake system. [PDF]
Yu Z, Wei Y, Hu C.
europepmc +1 more source
Lobular breast cancer statistics, 2025
Abstract Background Breast cancer statistics and clinical trial data largely reflect ductal carcinoma, the dominant histologic subtype, concealing important differences for invasive lobular carcinoma (ILC), the second most common subtype. Methods Nationally representative cancer registry data from the National Cancer Institute and Centers for Disease ...
Angela N. Giaquinto +4 more
wiley +1 more source
Exploring Smartphone-Based Edge AI Inferences Using Real Testbeds. [PDF]
Hirsch M, Mateos C, Majchrzak TA.
europepmc +1 more source

