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FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices using a Computing Power Aware Scheduler.

Z. Li, P. Chaturvedi, S. He, H. Chen, G. Singh, V. Kindratenko, E. Huerta, K. Kim, and R. Madduri. CoRR, (2023)

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Ky ng Kim

Die Artikelstruktur in passiven zweisprachigen Wörterbüchern Deutsch-Koreanisch: Konzeption zur Erstellung eines zweisprachigen Lernerwörterbuchs Deutsch-KoreanischK. Kim. Uni Heidelberg, (2008)

Bongcheol Kim

Sunghun Kim

Taekwan Kim

Kim Gerber

Other publications of authors with the same name

Efficient Communication in Federated Learning Using Floating-Point Lossy Compression.G. Wilkins, S. Di, J. Calhoun, K. Kim, R. Underwood, R. Mortier, and F. Cappello. CoRR, (2023)QCQP-Net: Reliably Learning Feasible Alternating Current Optimal Power Flow Solutions Under Constraints.S. Zeng, Y. Kim, Y. Ren, and K. Kim. CoRR, (2024)Federated Short-Term Load Forecasting with Personalization Layers for Heterogeneous Clients.S. Bose, and K. Kim. CoRR, (2023)Adaptive Intra Prediction Mode Signaling Approach in H.264/AVC.K. Kim, G. Jeon, and J. Jeong. IEICE Trans. Commun., 97-B (9): 1990-1999 (2014)An Asynchronous Bundle-Trust-Region Method for Dual Decomposition of Stochastic Mixed-Integer Programming.K. Kim, C. Petra, and V. Zavala. SIAM J. Optimization, 29 (1): 318-342 (2019)Differentially Private Federated Learning via Inexact ADMM.M. Ryu, and K. Kim. CoRR, (2021)FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices using a Computing Power Aware Scheduler.Z. Li, P. Chaturvedi, S. He, H. Chen, G. Singh, V. Kindratenko, E. Huerta, K. Kim, and R. Madduri. CoRR, (2023)Leveraging GPU batching for scalable nonlinear programming through massive Lagrangian decomposition.Y. Kim, F. Pacaud, K. Kim, and M. Anitescu. CoRR, (2021)Secure Federated Learning Across Heterogeneous Cloud and High-Performance Computing Resources - A Case Study on Federated Fine-tuning of LLaMA 2.Z. Li, S. He, P. Chaturvedi, V. Kindratenko, E. Huerta, K. Kim, and R. Madduri. CoRR, (2024)APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service.Z. Li, S. He, P. Chaturvedi, T. Hoang, M. Ryu, E. Huerta, V. Kindratenko, J. Fuhrman, M. Giger, R. Chard and 2 other author(s). e-Science, page 1-4. IEEE, (2023)

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Disambiguation of "Kim, Kibaek"

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FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices using a Computing Power Aware Scheduler.

Please choose a person to relate this publication to

Ky ng Kim

Bongcheol Kim

Sunghun Kim

Taekwan Kim

Kim Gerber

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Kim, Kibaek"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices using a Computing Power Aware Scheduler.

Please choose a person to relate this publication to

Ky ng Kim

Bongcheol Kim

Sunghun Kim

Taekwan Kim

Kim Gerber

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices using a Computing Power Aware Scheduler.