Kallista A. Bonawitz

Affiliations:
  • Google, New York, NY, USA
  • Massachusetts Institute of Technology (MIT), Cambridge, MA, USA (PhD 2008)


According to our database1, Kallista A. Bonawitz authored at least 16 papers between 2008 and 2024.

Collaborative distances:

Timeline

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Bibliography

2024
Confidential Federated Computations.
CoRR, 2024

2022
Towards Sparse Federated Analytics: Location Heatmaps under Distributed Differential Privacy with Secure Aggregation.
Proc. Priv. Enhancing Technol., 2022

Federated Select: A Primitive for Communication- and Memory-Efficient Federated Learning.
CoRR, 2022

Federated learning and privacy.
Commun. ACM, 2022

2021
Federated Learning and Privacy: Building privacy-preserving systems for machine learning and data science on decentralized data.
ACM Queue, 2021

Advances and Open Problems in Federated Learning.
Found. Trends Mach. Learn., 2021

2020
Secure Single-Server Aggregation with (Poly)Logarithmic Overhead.
IACR Cryptol. ePrint Arch., 2020

Context Aware Local Differential Privacy.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Advances and Open Problems in Federated Learning.
CoRR, 2019

Towards Federated Learning at Scale: System Design.
Proceedings of the Second Conference on Machine Learning and Systems, SysML 2019, 2019

Federated Learning with Autotuned Communication-Efficient Secure Aggregation.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2017
Practical Secure Aggregation for Privacy Preserving Machine Learning.
IACR Cryptol. ePrint Arch., 2017

2016
Practical Secure Aggregation for Federated Learning on User-Held Data.
CoRR, 2016

Discrete Distribution Estimation under Local Privacy.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2008
Composable probabilistic inference with BLAISE.
PhD thesis, 2008

Church: a language for generative models.
Proceedings of the UAI 2008, 2008


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