ML Anthology

Data, Deepesh

7 publications

ICLR 2023 A Statistical Framework for Personalized Federated Learning and Estimation: Theory, Algorithms, and Privacy Kaan Ozkara, Antonious M. Girgis, Deepesh Data, Suhas Diggavi
AISTATS 2022 Flexible Accuracy for Differential Privacy Aman Bansal, Rahul Chunduru, Deepesh Data, Manoj Prabhakaran
AISTATS 2021 Shuffled Model of Differential Privacy in Federated Learning Antonious Girgis, Deepesh Data, Suhas Diggavi, Peter Kairouz, Ananda Theertha Suresh
ICML 2021 Byzantine-Resilient High-Dimensional SGD with Local Iterations on Heterogeneous Data Deepesh Data, Suhas Diggavi
NeurIPS 2021 QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning Kaan Ozkara, Navjot Singh, Deepesh Data, Suhas Diggavi
NeurIPS 2021 Renyi Differential Privacy of the Subsampled Shuffle Model in Distributed Learning Antonious Girgis, Deepesh Data, Suhas Diggavi
NeurIPS 2019 Qsparse-Local-SGD: Distributed SGD with Quantization, Sparsification and Local Computations Debraj Basu, Deepesh Data, Can Karakus, Suhas Diggavi