Cheng-Wei Ching

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cs.DC2026

Totoro $^{+}$ : An Adaptive and Scalable Edge Federated Learning System

Cheng-Wei Ching, Xin Chen, Taehwan Kim +3

Federated Learning (FL) is an emerging distributed machine learning (ML) technique that enables in-situ model training and inference on decentralized edge devices. We propose Totor…

cs.DC2024

StraightLine: An End-to-End Resource-Aware Scheduler for Machine Learning Application Requests

Cheng-Wei Ching, Boyuan Guan, Hailu Xu +1

The life cycle of machine learning (ML) applications consists of two stages: model development and model deployment. However, traditional ML systems (e.g., training-specific or inf…

Totoro+: An Adaptive and Scalable Edge Federated Learning System

StraightLine: An End-to-End Resource-Aware Scheduler for Machine Learning Application Requests

Totoro $^{+}$ : An Adaptive and Scalable Edge Federated Learning System