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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…
cs.DC2024
Decaffe: DHT Tree-Based Online Federated Fake News Detection
Cheng-Wei Ching, Liting Hu
The proliferation of mobile social networks (MSNs) has transformed information dissemination, leading to increased reliance on these platforms for news consumption. However, this s…