… User Pairing (UP) and Power Allocation (PA). To address the problem of Cell Mid Users (…
channel gain difference between users pair, the power allocated to each user in the pair is so …

… both biases by proposing a hybrid fairness-aware recommender system. Our model provides
efficient and accurate recommendations by incorporating multiple user-user and item-item …

… as the D2D users are paired, the resource allocation can be applied. Therefore, we assume
a random D2D user pairing process in our paper. The study of advanced D2D user pairing …

… user utilities and ignore the importance of the fairness in recommendations. In this paper, we
propose a fairness-aware … as negative but instead generates fairness signals to search the …

… fairness-aware adversarial perturbation (FAAP), which learns to perturb input data to blind
deployed models on fairness… To achieve this, we design a discriminator to distinguish fairness-…

… for certifying fairness of feed-… awareness will certainly lead to regulations and strict audits
in the future. It is, therefore, critical to develop tools and techniques for certifying fairness …

… Recommender system fairness has been studied from the … of fairness intervention by evaluating
a single fixed fairness criterion … First, member pairings in the majority group tend to have …

… Machine learning bias and fairness have recently emerged as key issues due to the … To
circumvent shortcomings prevalent in data repairing approaches, such as those that weight …

… secondary IoT device, proportional fairness transmission rate among different … fairness
criterion is proposed. Numerical simulation results demonstrate that the throughput and fairness …

… designed to promote “fairness through awareness” (the title of … that being aware of protected
differences leads to fairness is … any use of an IF criteria built from such metrics is paired with …