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05/25/2023
pFedSim: Similarity-Aware Model Aggregation Towards Personalized Federated Learning
The federated learning (FL) paradigm emerges to preserve data privacy du...
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05/14/2023
A Survey of Federated Evaluation in Federated Learning
In traditional machine learning, it is trivial to conduct model evaluati...
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05/10/2023
FedDWA: Personalized Federated Learning with Online Weight Adjustment
Different from conventional federated learning, personalized federated l...
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05/09/2023
BARA: Efficient Incentive Mechanism with Online Reward Budget Allocation in Cross-Silo Federated Learning
Federated learning (FL) is a prospective distributed machine learning fr...
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03/25/2023
Edge-Based Video Analytics: A Survey
Edge computing has been getting a momentum with ever-increasing data at ...
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12/30/2022
Deep Hierarchy Quantization Compression algorithm based on Dynamic Sampling
Unlike traditional distributed machine learning, federated learning stor...
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09/05/2022
Boost Decentralized Federated Learning in Vehicular Networks by Diversifying Data Sources
Recently, federated learning (FL) has received intensive research becaus...
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08/12/2022
A Fast Blockchain-based Federated Learning Framework with Compressed Communications
Recently, blockchain-based federated learning (BFL) has attracted intens...
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12/13/2021
Optimal Rate Adaption in Federated Learning with Compressed Communications
Federated Learning (FL) incurs high communication overhead, which can be...
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07/05/2021
Optimizing the Numbers of Queries and Replies in Federated Learning with Differential Privacy
Federated learning (FL) empowers distributed clients to collaboratively ...
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05/10/2021
Slashing Communication Traffic in Federated Learning by Transmitting Clustered Model Updates
Federated Learning (FL) is an emerging decentralized learning framework ...
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03/11/2021
Virtual Reality: A Survey of Enabling Technologies and its Applications in IoT
Virtual Reality (VR) has shown great potential to revolutionize the mark...
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02/01/2021
Optimizing Video Caching at the Edge: A Hybrid Multi-Point Process Approach
It is always a challenging problem to deliver a huge volume of videos ov...
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01/31/2021
Gain without Pain: Offsetting DP-injected Nosies Stealthily in Cross-device Federated Learning
Federated Learning (FL) is an emerging paradigm through which decentrali...
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01/11/2021
On the Practicality of Differential Privacy in Federated Learning by Tuning Iteration Times
In spite that Federated Learning (FL) is well known for its privacy prot...
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10/20/2020