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03/23/2022
Mining Latent Relationships among Clients: Peer-to-peer Federated Learning with Adaptive Neighbor Matching
In federated learning (FL), clients may have diverse objectives, merging...
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12/02/2021
How global observation works in Federated Learning: Integrating vertical training into Horizontal Federated Learning
Federated learning (FL) has recently emerged as a transformative paradig...
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11/09/2021
Unified Group Fairness on Federated Learning
Federated learning (FL) has emerged as an important machine learning par...
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04/30/2021
Convergence Analysis and System Design for Federated Learning over Wireless Networks
Federated learning (FL) has recently emerged as an important and promisi...
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04/29/2020
Intelligent networking with Mobile Edge Computing: Vision and Challenges for Dynamic Network Scheduling
Mobile edge computing (MEC) has been considered as a promising technique...
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06/12/2019
Towards Big data processing in IoT: Path Planning and Resource Management of UAV Base Stations in Mobile-Edge Computing System
Heavy data load and wide cover range have always been crucial problems f...
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05/05/2019
Towards Big data processing in IoT: network management for online edge data processing
Heavy data load and wide cover range have always been crucial problems f...
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11/19/2018
Model change detection with application to machine learning
Model change detection is studied, in which there are two sets of sample...
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07/16/2018
Minor probability events detection in big data: An integrated approach with Bayesian testing and MIM
The minor probability events detection is a crucial problem in Big data....
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05/29/2018
