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07/05/2023
Privacy-Preserving Federated Heavy Hitter Analytics for Non-IID Data
Federated heavy-hitter analytics involves the identification of the most...
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06/08/2023
FedMLSecurity: A Benchmark for Attacks and Defenses in Federated Learning and LLMs
This paper introduces FedMLSecurity, a benchmark that simulates adversar...
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03/20/2023
FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System
Federated Learning (FL) enables machine learning model training on distr...
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02/27/2023
Proof-of-Contribution-Based Design for Collaborative Machine Learning on Blockchain
We consider a project (model) owner that would like to train a model by ...
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11/06/2017
An Iterative Scheme for Leverage-based Approximate Aggregation
Currently data explosion poses great challenges to approximate aggregati...
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10/26/2017
