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04/15/2023
Communication and Energy Efficient Wireless Federated Learning with Intrinsic Privacy
Federated Learning (FL) is a collaborative learning framework that enabl...
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05/25/2022
Scalable and Low-Latency Federated Learning with Cooperative Mobile Edge Networking
Federated learning (FL) enables collaborative model training without cen...
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02/15/2022
Federated Learning with Sparsified Model Perturbation: Improving Accuracy under Client-Level Differential Privacy
Federated learning (FL) that enables distributed clients to collaborativ...
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09/12/2020
Certified Robustness of Graph Classification against Topology Attack with Randomized Smoothing
Graph classification has practical applications in diverse fields. Recen...
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09/11/2020
Trading Data For Learning: Incentive Mechanism For On-Device Federated Learning
Federated Learning rests on the notion of training a global model distri...
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08/01/2020
Sparsified Privacy-Masking for Communication-Efficient and Privacy-Preserving Federated Learning
Federated learning has received significant interests recently due to it...
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05/16/2020
Differentially Private ADMM for Convex Distributed Learning: Improved Accuracy via Multi-Step Approximation
Alternating Direction Method of Multipliers (ADMM) is a popular algorith...
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03/30/2020
CPFed: Communication-Efficient and Privacy-Preserving Federated Learning
Federated learning is a machine learning setting where a set of edge dev...
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03/28/2020
Differentially Private Federated Learning for Resource-Constrained Internet of Things
With the proliferation of smart devices having built-in sensors, Interne...
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01/07/2019
Optimal Differentially Private ADMM for Distributed Machine Learning
Due to massive amounts of data distributed across multiple locations, di...
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08/30/2018
