Papailiopoulos, Dimitris

Speeding Up Distributed Machine Learning Using Codes

Lee, K., Lam, M., Pedarsani, R., Papailiopoulos, D., & Ramchandran, K. (2018) · IEEE Transactions on Information Theory

Advanced Data Storage TechnologiesStochastic Gradient Optimization Techniques

Cited by 829

Attack of the tails: Yes, you really can backdoor federated learning

Wang, H., Sreenivasan, K., Rajput, S., Vishwakarma, H., Agarwal, S., Sohn, J.-Y., Lee, K., & Papailiopoulos, D. (2020) · arXiv

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 406

DETOX: A redundancy-based framework for faster and more robust gradient aggregation

Rajput, S., Wang, H., Charles, Z., & Papailiopoulos, D. (2019) · arXiv

Stochastic Gradient Optimization TechniquesDistributed systems and fault tolerance

Cited by 72

LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks

Dinh, T., Zeng, Y., Zhang, R., Lin, Z., Gira, M., Rajput, S., Sohn, J.-Y., Papailiopoulos, D., & Lee, K. (2022) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 67

Prompted LLMs as Chatbot Modules for Long Open-domain Conversation

Lee, G., Hartmann, V., Park, J., Papailiopoulos, D., & Lee, K. (2023) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 34

Prompted LLMs as Chatbot Modules for Long Open-domain Conversation

Lee, G., Hartmann, V., Park, J., Papailiopoulos, D., & Lee, K. (2023) · Findings of the Association for Computational Linguistics: ACL 2023

Speech and dialogue systemsTopic Modeling

Cited by 34

Gradient Coding Using the Stochastic Block Model

Charles, Z., & Papailiopoulos, D. (2018) · 2018 IEEE International Symposium on Information Theory (ISIT)

Stochastic Gradient Optimization TechniquesDistributed systems and fault tolerance

Cited by 23