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08/15/2023
FedCache: A Knowledge Cache-driven Federated Learning Architecture for Personalized Edge Intelligence
Edge Intelligence (EI) allows Artificial Intelligence (AI) applications ...
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07/14/2023
FedBIAD: Communication-Efficient and Accuracy-Guaranteed Federated Learning with Bayesian Inference-Based Adaptive Dropout
Federated Learning (FL) emerges as a distributed machine learning paradi...
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04/12/2023
FedTrip: A Resource-Efficient Federated Learning Method with Triplet Regularization
In the federated learning scenario, geographically distributed clients c...
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03/07/2023
Resource-aware Probability-based Collaborative Odor Source Localization Using Multiple UAVs
Benefitting from UAVs' characteristics of flexible deployment and contro...
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02/20/2023
Ultra-conformable Liquid Metal Particle Monolayer on Air/water Interface for Substrate-free E-tattoo
Gallium-based liquid metal is getting increased attention in conformal f...
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02/17/2023
Online Spatio-Temporal Correlation-Based Federated Learning for Traffic Flow Forecasting
Traffic flow forecasting (TFF) is of great importance to the constructio...
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01/14/2023
Survey of Knowledge Distillation in Federated Edge Learning
The increasing demand for intelligent services and privacy protection of...
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01/01/2023
FedICT: Federated Multi-task Distillation for Multi-access Edge Computing
The growing interest in intelligent services and privacy protection for ...
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08/25/2022
Towards Federated Learning against Noisy Labels via Local Self-Regularization
Federated learning (FL) aims to learn joint knowledge from a large scale...
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07/11/2022
Brain-inspired Graph Spiking Neural Networks for Commonsense Knowledge Representation and Reasoning
How neural networks in the human brain represent commonsense knowledge, ...
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04/14/2022
Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation
Federated learning (FL) is a distributed machine learning paradigm in wh...
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01/24/2022
COVID-19 Detection Using CT Image Based On YOLOv5 Network
Computer aided diagnosis (CAD) increases diagnosis efficiency, helping d...
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10/13/2019
Feature Detection and Attenuation in Embeddings
Embedding is one of the fundamental building blocks for data analysis ta...
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09/17/2019