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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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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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09/03/2022
Semi-supervised Training for Knowledge Base Graph Self-attention Networks on Link Prediction
The task of link prediction aims to solve the problem of incomplete know...
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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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05/06/2021
Meta-Learning-based Deep Reinforcement Learning for Multiobjective Optimization Problems
Deep reinforcement learning (DRL) has recently shown its success in tack...
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04/29/2021
Spirit Distillation: A Model Compression Method with Multi-domain Knowledge Transfer
Recent applications pose requirements of both cross-domain knowledge tra...
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03/25/2021
Spirit Distillation: Precise Real-time Prediction with Insufficient Data
Recent trend demonstrates the effectiveness of deep neural networks (DNN...
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10/26/2020