Federated learning (FL) has emerged as a promising framework to exploit massive data
generated by edge devices in develo** a common learning model while preserving the …

User-centric radio access technology (RAT) selection is a key communication paradigm,
given the increased number of available RATs and increased cognitive capabilities at the …

We design an expected polynomial time, truthful in expectation,(1-1/e)-approximation
mechanism for welfare maximization in a fundamental class of combinatorial auctions. Our …

Complements between goods--where one good takes on added value in the presence of
another--have been a thorn in the side of algorithmic mechanism designers. On the one …

Prolonged rotating outages and exorbitant energy bills, recently experienced in California
and Texas, have exposed the limitations and need for modernizing electric power systems …

Pandora's problem is a fundamental model in economics that studies optimal search
strategies under costly inspection. In this paper we initiate the study of Pandora's problem …

This paper proposes a sub-chain-enabled coordinated protection model for the availability-
guaranteed service function chain (SFC) provisioning, which considers the availability of …

Federated Learning (FL) permits different parties to collaboratively train a global model
without disclosing their respective local labels. A crucial step of FL, that of aggregating local …

Business modes of ride-hailing services in the era of autonomous vehicles (AVs) could be
vastly different from those of current human vehicles (HVs). In addition to the asset-heavy …

We consider deterministic dominant strategy implementation in multidimensional
dichotomous domains in a private values and quasilinear utility setting. In such …