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BPFL: A Blockchain Based Privacy-Preserving Federated Learning Scheme
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Federated Learning (FL), which allows multiple participants to co-train machine Learning models without exposing local data, has been recognized as a promising method in the past few years. However, in the FL process, the ...
Autonomous and Privacy-preserving Energy Trading Based on Redactable Blockchain in Smart Grid
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
With the development of information and communication technologies in smart grid, peer-to-peer (P2P) energy trading for distributed energy resources (DER) has achieved an efficient two-way flow of information and power. ...
A Lightweight Attribute Based Encryption Scheme with Constant Size Ciphertext for Internet of Things
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
The Internet of Things technology has been used in a wide range of fields, ranging from industrial applications to individual lives. As a result, a massive amount of sensitive data is generated and transmitted by IoT ...
A Differentially Private Classification Algorithm with High Utility for Wireless Body Area Networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
The advancement of the wireless body area networks (WBAN) and sensor technologies allows us to collect a variety of physiological and behavioral data from human body. And appropriate application of machine learning methods ...
An efficient and privacy-preserving energy trading scheme based on blockchain
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
Distributed transaction model has gradually replaced the traditional centralized transaction model and has become the leading direction of development in energy trading. As the underlying support, blockchain technology is ...