Herbert Wertheim College of Engineering
EdgeAI Laboratory
Led by Mingyue Ji · Electrical and Computer Engineering
What we study
The EdgeAI Lab studies AI, wireless networks, and distributed computing. They develop algorithms and hardware for IoT, sensing, and edge computing.
What working here is like
- Computational
- No organisms (data only)
- Coding required
- Project
- 1
- Papers
- 5
Current projects
Straggler-Aware Coded Polynomial Aggregation
Develops coding methods that speed up distributed computing by handling slow computers (stragglers) better when combining results.
Summaries are written by AI in plain language from public symposium abstracts and may be imperfect.
Recent papers, explained
- Convergence-Driven Federated Learning with Joint Compression and Computation Optimization
2026 · IEEE INFOCOM 2026 - IEEE Conference on Computer Communications
- Fundamental Limits of Coded Polynomial Aggregation
2026 · 2026 IEEE International Symposium on Information Theory (ISIT)
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- LLM-Enhanced Resilient UAV Swarm Operations in Low-Altitude Wireless Networks
2026 · IEEE Transactions on Vehicular Technology
Tests a system using AI and drones to keep swarms working in contested airspace.
- Fundamental Limits of Distributed Linearly Separable Computation Under Cyclic Assignment
2026 · IEEE Transactions on Communications
Analyzes distributed computation limits under cyclic data assignment.
- Fundamental Limits of Multi-Message Private Computation
2025 · IEEE Transactions on Communications
Extends privacy methods to let users retrieve multiple files without revealing what they want.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
Mingyue Ji hasn't set up this page yet. You can also look them up in the UF directory (search “Mingyue Ji”).