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02/16/2022
Single-shot Hyper-parameter Optimization for Federated Learning: A General Algorithm Analysis
We address the relatively unexplored problem of hyper-parameter optimiza...
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12/15/2021
FLoRA: Single-shot Hyper-parameter Optimization for Federated Learning
We address the relatively unexplored problem of hyper-parameter optimiza...
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03/05/2021
FedV: Privacy-Preserving Federated Learning over Vertically Partitioned Data
Federated learning (FL) has been proposed to allow collaborative trainin...
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12/11/2020
Adaptive Histogram-Based Gradient Boosted Trees for Federated Learning
Federated Learning (FL) is an approach to collaboratively train a model ...
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12/04/2020
Mitigating Bias in Federated Learning
As methods to create discrimination-aware models develop, they focus on ...
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07/22/2020
IBM Federated Learning: an Enterprise Framework White Paper V0.1
Federated Learning (FL) is an approach to conduct machine learning witho...
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01/25/2020
TiFL: A Tier-based Federated Learning System
Federated Learning (FL) enables learning a shared model across many clie...
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12/12/2019
HybridAlpha: An Efficient Approach for Privacy-Preserving Federated Learning
Federated learning has emerged as a promising approach for collaborative...
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09/19/2019
Towards Federated Graph Learning for Collaborative Financial Crimes Detection
Financial crime is a large and growing problem, in some way touching alm...
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12/07/2018
A Hybrid Approach to Privacy-Preserving Federated Learning
Training machine learning models often requires data from multiple parti...
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11/09/2018
Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering
While machine learning (ML) models are being increasingly trusted to mak...
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11/01/2018