PPFL: Privacy-Preserving Federated Learning Based on Differential Privacy and Personalized Data Transformation
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2025.3595533
Abstract: federated learning (FL) prevents direct exposure of raw data. However, it remains vulnerable to privacy and security threats such as inference and poisoning attacks. Traditional differential privacy (DP) methods utilize noise injection to mitigate these… read more here.
Keywords: differential privacy; privacy; personalized data; federated learning ... See more keywords
Human Mobility Support for Personalized Data Offloading
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Network and Service Management"
DOI: 10.1109/tnsm.2022.3153804
Abstract: WiFi Access Points (APs) can be used to offload data or computation tasks while users are commuting. However, due to APs’ limited coverage, offloading performance is heavily impacted by the users’ mobility. This work proposes… read more here.
Keywords: mobility; methodology; human mobility; personalized data ... See more keywords