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05/22/2023
Comments on CausalEC: A Causally Consistent Data Storage Algorithm Based on Cross-Object Erasure Coding
Cadambe and Lyu 2021 presents an erasure coding based algorithm called C...
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10/05/2021
Secure Aggregation for Buffered Asynchronous Federated Learning
Federated learning (FL) typically relies on synchronous training, which ...
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10/04/2021
AsymML: An Asymmetric Decomposition Framework for Privacy-Preserving DNN Training and Inference
Leveraging parallel hardware (e.g. GPUs) to conduct deep neural network ...
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09/20/2021
ApproxIFER: A Model-Agnostic Approach to Resilient and Robust Prediction Serving Systems
Due to the surge of cloud-assisted AI services, the problem of designing...
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07/27/2021
Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning
Stragglers, Byzantine workers, and data privacy are the main bottlenecks...
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06/07/2021
Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning
Secure aggregation is a critical component in federated learning, which ...
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01/27/2021
List-Decodable Coded Computing: Breaking the Adversarial Toleration Barrier
We consider the problem of coded computing where a computational task is...
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11/11/2020
On Polynomial Approximations for Privacy-Preserving and Verifiable ReLU Networks
Outsourcing neural network inference tasks to an untrusted cloud raises ...
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02/14/2020
Consistency Analysis of Replication-Based Probabilistic Key-Value Stores
Partial quorum systems are widely used in distributed key-value stores d...
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10/09/2019
Hierarchical Deep Double Q-Routing
This paper explores a deep reinforcement learning approach applied to th...
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10/02/2018
Harnessing Correlations in Distributed Erasure Coded Key-Value Stores
Motivated by applications of distributed storage systems to cloud-based ...
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05/11/2018