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02/06/2023
z-SignFedAvg: A Unified Stochastic Sign-based Compression for Federated Learning
Federated Learning (FL) is a promising privacy-preserving distributed le...
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01/08/2023
Why Batch Normalization Damage Federated Learning on Non-IID Data?
As a promising distributed learning paradigm, federated learning (FL) in...
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11/01/2022
Improving Variational Autoencoders with Density Gap-based Regularization
Variational autoencoders (VAEs) are one of the powerful unsupervised lea...
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06/07/2022
Enhancing Dual-Encoders with Question and Answer Cross-Embeddings for Answer Retrieval
Dual-Encoders is a promising mechanism for answer retrieval in question ...
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06/17/2021
Quantized Federated Learning under Transmission Delay and Outage Constraints
Federated learning (FL) has been recognized as a viable distributed lear...
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11/04/2018