Federated Learning for Semantic Parsing: Task Formulation, Evaluation Setup, New Algorithms
- Tianshu Zhang
- Changchang Liu
- et al.
- 2023
- ACL 2023
Publications
This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.
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11 results for Wei-Han Lee
UNIFUZZ: A Holistic and Pragmatic Metrics-Driven Platform for Evaluating Fuzzers
- Yuwei Li
- Shouling Ji
- et al.
- 2021
- USENIX Security 2021
MOPT: Optimized mutation scheduling for fuzzers
- Chenyang Lyu
- Shouling Ji
- et al.
- 2019
- USENIX Security 2019
A Large-Scale Empirical Study on the Vulnerability of Deployed IoT Devices
- Binbin Zhao
- Shouling Ji
- et al.
- 2021
- IEEE TDSC
Model Pruning Enables Efficient Federated Learning on Edge Devices
- Yuang Jiang
- Shiqiang Wang
- et al.
- 2021
- IEEE TNNLS
Rim: Offloading Inference to the Edge
- Yitao Hu
- Weiwu Pang
- et al.
- 2021
- IoTDI 2021
Enhancing Robustness in Federated Learning by Supervised Anomaly Detection
- Pengrui Quan
- Wei-Han Lee
- et al.
- 2022
- ICPR 2022
NeuralFP: Out-of-distribution detection using fingerprints of neural networks
- Wei-Han Lee
- Steve Millman
- et al.
- 2020
- ICPR 2020
Acoustic anomaly detection system: Demo abstract
- Jae Wook Ahn
- Keith Grueneberg
- et al.
- 2019
- SenSys 2019
Exact Incremental and Decremental Learning for LS-SVM
- Wei-Han Lee
- Bongjun Ko
- et al.
- 2019
- ICIP 2019