Mung Chiang
Engineering · Purdue University West Lafayette
Publications
509
Citations
25,581
Est. group size
~6
Recurring co-author estimate
Active years
26
Publishing since 2001
This researcher works on computer networking and distributed computing systems, with recent focus on edge computing, fog computing, and federated learning (methods for training AI models across many devices without centralizing data). Earlier work also covered wireless network optimization, network security (such as routing attacks and malware detection), and data pricing for networks. The overall theme is designing and optimizing systems that coordinate computation and data across many connected devices.
Publication output was higher around 2017-2018 (about 29 papers/year) and has generally declined and stabilized to a lower, steadier rate of roughly 9-15 papers/year in recent years.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Towards Serverless Semi-Decentralized Federated Learning with Heterogeneous Optimizers
arXiv (Cornell University) · 2026
- Towards Serverless Semi-Decentralized Federated Learning with Heterogeneous Optimizers
arXiv (Cornell University) · 2026
- Optimizing Server Placement for Vertical Federated Learning in Dynamic Edge/Fog Networks
ArXiv.org · 2026
- Optimizing Server Placement for Vertical Federated Learning in Dynamic Edge/Fog Networks
arXiv (Cornell University) · 2026
- Exploring Edge AI Inference in Heterogeneous Environments: Requirements, Challenges, and Solutions
Internet of things · 2024
- Edge AI Inference in Heterogeneous Constrained Computing: Feasibility and Opportunities
arXiv (Cornell University) · 2023
- Edge AI Inference in Heterogeneous Constrained Computing: Feasibility and Opportunities
2023
- Contextual Model Aggregation for Fast and Robust Federated Learning in Edge Computing
arXiv (Cornell University) · 2022
- Securing internet applications from routing attacks
Communications of the ACM · 2021
- Expert Intervention Learning
Autonomous Robots · 2021
- Quantifying Political Leaning from Tweets and Retweets
Proceedings of the International AAAI Conference on Web and Social Media · 2021
- SSD: A Unified Framework for Self-Supervised Outlier Detection
arXiv (Cornell University) · 2021
- Demo: Discover, Provision, and Orchestration of Machine Learning Inference Services in Heterogeneous Edge
2021
- Paid Prioritization with Content Competition
arXiv (Cornell University) · 2020
- Characterizing task completion latencies in multi-point multi-quality fog computing systems
Computer Networks · 2020
- arXiv (Cornell University)×47
- IEEE Journal on Selected Areas in Communications×7
- IEEE Communications Magazine×6
- IEEE/ACM Transactions on Networking×6
- IEEE Internet of Things Journal×3
- Ness B. Shroff
Engineering · The Ohio State University
- Xiaojun Lin
Engineering · Purdue University West Lafayette
- Atilla Eryılmaz
Engineering · The Ohio State University
- Xiaojun Lin
Engineering · Purdue University West Lafayette
- Ness B. Shroff
Computer Science · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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