Research Interests

• Systems for Distributed Machine Learning

• Distributed Computing

• Approximation Algorithms and Applications

• Mobile Edge Computing

Work Experience 

• Research Assistant (full-time), Academia Sinica CITI & National Chung Cheng University, 2021 - 2022

• Research Assistant (part-time), National Chung Cheng University, 2019 - 2021

• Project Engineer (full-time), 2100 Technology Co., Ltd., 2018

• Sales Specialist (full-time), Yao Han Industry, Ltd., 2017 - 2018

• Alternative Service (full-time), National Immigration Agency, 2016 - 2017

• Sales Specialist (part-time), Yao Han Industry, Ltd., 2015 - 2016

Publications [Google Scholar] [dblp]  

=: Equal contribution, *: My master's advisor, ^: My PhD's advisor

Conference Papers

[EuroSys'24] Totoro: A Scalable Federated Learning Engine for the Edge [code],
Cheng-Wei Ching, Xin Chen, Taehwan Kim, Chirag Gupta, Bo Ji, Qingyang Wang, Dilma Da Silva, and Liting Hu^,
in Proceedings of the 19th ACM SIGOPS European Conference on Computer Systems (EuroSys'24), Athens, Greece, April 2024. 

[GLOBECOM'21] Efficient Online Decentralized Learning Framework for Social Internet of Things,
Cheng-Wei Ching, Hung-Sheng Huang, Chun-An Yang, Jian-Jhih Kuo*,  and Ren-Hung Hwang,
in Proceedings of IEEE Global Communications Conference 2021 (GLOBECOM'21), virtual event, December 2021.

[ICCCN'21] Efficient Communication Topology via Partially Differential Privacy for Decentralized Learning,
Cheng-Wei Ching=, Hung-Sheng Huang=, Chun-An Yang, Yu-Chun Liu, and Jian-Jhih Kuo*,
in Proceedings of the 32nd International Conference on Computer Communications and Networks (ICCCN'21), virtual event, July 2021. 

[GLOBECOM'20] Model Partition Defense against GAN Attacks on Collaborative Learning via Mobile Edge Computing,
Cheng-Wei Ching, Tzu-Cheng Lin, Kung-Hao Chang, Chih-Chiung Yao, and Jian-Jhih Kuo*,
in Proceedings of IEEE Global Communications Conference 2020 (GLOBECOM'20), Taipei, Taiwan, December 2020.

[GLOBECOM'20] Energy-Efficient Link Selection for Decentralized Learning via Smart Devices with Edge Computing,
Cheng-Wei Ching, Chung-Kai Yang, Yu-Chun Liu, Chia-Wei Hsu, Jian-Jhih Kuo*, Hung-Sheng Huang, and Jen-Feng Lee,
in Proceedings of IEEE Global Communications Conference 2020 (GLOBECOM'20), Taipei, Taiwan, December 2020. 

Journal Articles

[TMC] AgileDART: An Agile and Scalable Edge Stream Processing Engine,
Cheng-Wei Ching, Xin Chen, Chaeeun Kim, Tongze Wang, Dong Chen, Dilma Da Silva, and Liting Hu^,
in IEEE Transactions on Mobile Computing (IEEE TMC), volume 24, issue 5, pages 4510 - 4528, May 2025.

[TSC] Dual-Objective Personalized Federated Service System With Partially-Labeled Data Over Wireless Networks,
Cheng-Wei Ching, Jia-Ming Chang, Jian-Jhih Kuo*, and Chih-Yu Wang,
in IEEE Transactions on Services Computing (IEEE TSC), volume 16, issue 5, pages 3265 - 3279, Sept.-Oct. 2023. 

[TGCN] Energy-Efficient Topology Construction via Power Allocation for Decentralized Learning via Smart Devices with Edge Computing,
Jian-Jhih Kuo*, Cheng-Wei Ching, Hung-Sheng Huang, and Yu-Chun Liu,
in IEEE Transactions on Green Communications and Networking (IEEE TGCN), volume 5, issue 4, pages 1806-1819, July 2021. 

Workshop Papers

[ICDPR'24] Decaffe: DHT Tree-Based Online Federated Fake News Detection,
Cheng-Wei Ching and Liting Hu^,
in Proceedings of the 8th International Conference on Data Processing and Robotics (ICDPR), in conjunction with 2024 8th International Conference on Control Engineering and Artificial Intelligence (CCEAI'24), Shanghai, China, January 2024. (Best Presentation Award)

[ECAI'23] OrcoDCS: An IoT-Edge Orchestrated Online Deep Compressed Sensing Framework,
Cheng-Wei Ching, Chirag Gupta, Zi Huang, and Liting Hu^,
in Proceedings of the First International Workshop on Edge-to-Cloud AI Orchestration (ECAI), in conjunction with IEEE 43rd International Conference on Distributed Computing Systems (ICDCS'23), Hong Kong, China, July 2023. 

[NMIC'20] Optimal Device Selection for Federated Learning over Mobile Edge Networks,
Cheng-Wei Ching, Yu-Chun Liu, Chung-Kai Yang, Jian-Jhih Kuo*, and Feng-Ting Su,
in Proceedings of the Second International Workshop on Network Meets Intelligent Computations (NMIC), in conjunction with IEEE 40th International Conference on Distributed Computing Systems (ICDCS'20), virtual event, November 2020. 

Teaching Experience

• Teach Assistant, CSE134 Embedded Operating Systems, University of California, Santa Cruz, Spring 2025.

• Teach Assistant, CSE138 Distributed Systems, University of California, Santa Cruz, Fall 2023.

• Instructor, C-Tech2 Summer Program --- Computer Systems Programming Workshop "LED lights", 2022. [link] 

Professional Services

Journal Reviewer

• ACM Computing Surveys, 2025

• Cluster Computing, 2025

• Computer Communications, 2024, 2025

• Computer Networks, 2024, 2025

• Engineering Applications of Artificial Intelligence (EAAI), 2023, 2024, 2025

• Future Generation Computer Systems (FGCS), 2023, 2024, 2025

• IEEE Internet of Things Journal (IoTJ), 2024, 2025

• IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), 2024

• IEEE Network Magazine, 2023, 2024

• IEEE Transactions on Artificial Intelligence, 2025

• IEEE Transactions on Emerging Topics in Computing (TETC), 2025

• IEEE Transactions on Machine Learning in Communications and Networking (TMLCN), 2023, 2024

• Information Sciences, 2025

• Journal of Network and Computer Applications (JNCA), 2023, 2024, 2025

• Journal of Parallel and Distributed Computing (JPDC), 2024, 2025

Honor & Award