Elastic optimization for stragglers in edge federated learning

K Sultana, K Ahmed, B Gu… - Big Data Mining and …, 2023 - ieeexplore.ieee.org
To fully exploit enormous data generated by intelligent devices in edge computing, edge
federated learning (EFL) is envisioned as a promising solution. The distributed collaborative …

Coded real number matrix multiplication for on-device edge computing

Z Tan, D Yuan, Y Zhang… - IEEE Signal Processing …, 2023 - ieeexplore.ieee.org
This letter addresses the challenge of multiplying large real-numbered matrices and in on-
device edge computing environments with a master node and worker nodes. To ensure …

Coded matrix computation with gradient coding

K Son, A Ramamoorthy - 2023 IEEE International Symposium …, 2023 - ieeexplore.ieee.org
Polynomial based approaches, such as the Mat-Dot and entangled polynomial codes (EPC)
have been used extensively within coded matrix computations to obtain schemes with good …

[PDF][PDF] Fault-Tolerant Parallel Integer Multiplication

R Nissim, O Schwartz, Y Spiizer - … of the 36th ACM Symposium on …, 2024 - cs.huji.ac.il
Long integer multiplication algorithms are fundamental computational kernels in numerous
applications, ranging from cryptographic systems to neural networks. They serve as …

Stragglers in Distributed Matrix Multiplication

R Nissim, O Schwartz - Workshop on Job Scheduling Strategies for …, 2023 - Springer
A delay in a single processor may affect an entire system since the slowest processor
typically determines the runtime. Problems with such stragglers are often mitigated using …

[引用][C] 지능형엣지컴퓨팅시스템을위한행렬연산

손경락, 이정훈 - 한국통신학회학술대회논문집, 2024 - dbpia.co.kr
요 약분산 컴퓨팅은 지능형 IoT 네트워크에서 중요한 역할을 하지만 무선 네트워크에서는
제대로 연구되지 않았습니다. 특히무선 채널과 잡음으로 인한 왜곡은 분산 컴퓨팅의 정확도를 …