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10/28/2022
Local Model Reconstruction Attacks in Federated Learning and their Uses
In this paper, we initiate the study of local model reconstruction attac...
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10/31/2021
Efficient passive membership inference attack in federated learning
In cross-device federated learning (FL) setting, clients such as mobiles...
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10/23/2020
Throughput-Optimal Topology Design for Cross-Silo Federated Learning
Federated learning usually employs a client-server architecture where an...
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04/30/2020
Dynamic backup workers for parallel machine learning
The most popular framework for distributed training of machine learning ...
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02/28/2020
Decentralized gradient methods: does topology matter?
Consensus-based distributed optimization methods have recently been advo...
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07/13/2019