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08/03/2023
Hierarchical Federated Learning in Wireless Networks: Pruning Tackles Bandwidth Scarcity and System Heterogeneity
While a practical wireless network has many tiers where end users do not...
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05/22/2023
Distributed Learning over Networks with Graph-Attention-Based Personalization
In conventional distributed learning over a network, multiple agents col...
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02/19/2023
Magnitude Matters: Fixing SIGNSGD Through Magnitude-Aware Sparsification in the Presence of Data Heterogeneity
Communication overhead has become one of the major bottlenecks in the di...
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02/19/2023
On the f-Differential Privacy Guarantees of Discrete-Valued Mechanisms
We consider a federated data analytics problem in which a server coordin...
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10/27/2022
Resource Constrained Vehicular Edge Federated Learning with Highly Mobile Connected Vehicles
This paper proposes a vehicular edge federated learning (VEFL) solution,...
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06/08/2022
Gradient Obfuscation Gives a False Sense of Security in Federated Learning
Federated learning has been proposed as a privacy-preserving machine lea...
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02/15/2022
Efficient Content Delivery in Cache-Enabled VEN with Deadline-Constrained Heterogeneous Demands: A User-Centric Approach
Modern connected vehicles (CVs) frequently require diverse types of cont...
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10/07/2021
Neural Tangent Kernel Empowered Federated Learning
Federated learning (FL) is a privacy-preserving paradigm where multiple ...
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10/06/2021
Federated Learning via Plurality Vote
Federated learning allows collaborative workers to solve a machine learn...
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08/02/2021
Communication-Efficient Federated Learning via Predictive Coding
Federated learning can enable remote workers to collaboratively train a ...
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04/15/2020
On the Design of Communication Efficient Federated Learning over Wireless Networks
Recently, federated learning (FL), as a promising distributed machine le...
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02/25/2020
Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees
Federated learning (FL) has emerged as a prominent distributed learning ...
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02/27/2019
Distributed Byzantine Tolerant Stochastic Gradient Descent in the Era of Big Data
The recent advances in sensor technologies and smart devices enable the ...
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09/08/2018