Suresh, Ananda Theertha

Federated Learning: Strategies for Improving Communication Efficiency

Konečný, J., McMahan, H. B., Yu, F. X., Richtárik, P., Suresh, A. T., & Bacon, D. (2016) · arXiv

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 3,766

SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

Karimireddy, S. P., Kale, S., Mohri, M., Reddi, S. J., Stich, S. U., & Suresh, A. T. (2019) · arXiv

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 1,734

Can You Really Backdoor Federated Learning?

Sun, Z., Kairouz, P., Suresh, A. T., & McMahan, H. B. (2019) · arXiv

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 348

Remember What You Want to Forget: Algorithms for Machine Unlearning

Sekhari, A., Acharya, J., Kamath, G., & Suresh, A. T. (2021) · arXiv

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 99

Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning

Karimireddy, S. P., Jaggi, M., Kale, S., Mohri, M., Reddi, S. J., Stich, S. U., & Suresh, A. T. (2020) · arXiv

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 96

Shuffled Model of Federated Learning: Privacy, Communication and Accuracy Trade-offs

Girgis, A. M., Data, D., Diggavi, S., Kairouz, P., & Suresh, A. T. (2020) · arXiv

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 16

A Theory of Multiple-Source Adaptation with Limited Target Labeled Data

Mansour, Y., Mohri, M., Ro, J., Suresh, A. T., & Wu, K. (2020) · arXiv

Domain Adaptation and Few-Shot LearningMachine Learning and Algorithms

Cited by 8