关注
Eric Lin
Eric Lin
Dynamo AI, Harvard
在 dynamo.ai 的电子邮件经过验证
标题
引用次数
引用次数
年份
Fedcd: Improving performance in non-iid federated learning
K Kopparapu, E Lin, J Zhao
arXiv preprint arXiv:2006.09637, 2020
432020
Fedfmc: Sequential efficient federated learning on non-iid data
K Kopparapu, E Lin
arXiv preprint arXiv:2006.10937, 2020
412020
Tinyfedtl: Federated transfer learning on ubiquitous tiny iot devices
K Kopparapu, E Lin, JG Breslin, B Sudharsan
2022 IEEE International Conference on Pervasive Computing and Communications …, 2022
242022
TinyFedTL: Federated transfer learning on tiny devices
K Kopparapu, E Lin
arXiv preprint arXiv:2110.01107, 2021
242021
Fedltn: Federated learning for sparse and personalized lottery ticket networks
V Mugunthan, E Lin, V Gokul, C Lau, L Kagal, S Pieper
European Conference on Computer Vision, 69-85, 2022
132022
Protecting user privacy: Obfuscating discriminative spatio-temporal footprints
JD Park, E Seglem, E Lin, A Züfle
Proceedings of the 1st ACM SIGSPATIAL Workshop on Recommendations for …, 2017
112017
Real-time bayesian micro-analysis for metro traffic prediction
E Lin, JD Park, A Züfle
Proceedings of the 3rd ACM SIGSPATIAL Workshop on Smart Cities and Urban …, 2017
92017
Does fine-tuning GPT-3 with the OpenAI API leak personally-identifiable information?
AY Sun, E Zemour, A Saxena, U Vaidyanathan, E Lin, C Lau, ...
arXiv preprint arXiv:2307.16382, 2023
82023
Fedfmc: Sequential efficient federated learning on non-iid data. arXiv 2020
K Kopparapu, E Lin
arXiv preprint arXiv:2006.10937, 0
6
Panel: Privacy Challenges and Opportunities in {LLM-Based} Chatbot Applications
S Ghayyur, J Averitt, E Lin, E Wallace, A Deshpande, H Luthi
22023
Navigating Data Heterogeneity in Federated Learning: A Semi-Supervised Approach for Object Detection
T Kim, E Lin, J Lee, C Lau, V Mugunthan
Advances in Neural Information Processing Systems 36, 2024
12024
HIGHLY EFFICIENT 8-BIT LOW PRECISION INFERENCE OF CONVOLUTIONAL NEURAL NETWORKS
H Shen, J Gong, X Liu, G Zhang, G Jin, E Lin
12019
Navigating data heterogeneity in federated learning: a semi-supervised federated object detection
T Kim, E Lin, J Lee, C Lau, V Mugunthan
Thirty-seventh Conference on Neural Information Processing Systems, 2023
2023
Privacy Requirements and Realities of Digital Public Goods
G Gopi, RJ Cronk, E Lin, A Frik, E Wallace, M Khan, A Deshpande, ...
2023
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