ZEBRIS is a bilateral edge service trading mechanism that models buyer valuations and seller asks under zero-trust constraints and uses capped deposit-refund settlements based on measured runtime compliance to improve welfare and robustness.
5G; Study on Scenarios and Requirements for Next Generation Access Technologies
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AEGIS introduces risk-budgeted online scheduling with LSTM prediction and game-theoretic allocation to improve timely inference ratios and reduce violation bursts in continuous edge computing.
citing papers explorer
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Zero-Trust Bilateral Edge Service Trading with Deposit-Refund Regulation for Runtime Compliance
ZEBRIS is a bilateral edge service trading mechanism that models buyer valuations and seller asks under zero-trust constraints and uses capped deposit-refund settlements based on measured runtime compliance to improve welfare and robustness.
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Risk-Budgeted Online Scheduling for Continuous Edge Inference over Evolving Time Horizons
AEGIS introduces risk-budgeted online scheduling with LSTM prediction and game-theoretic allocation to improve timely inference ratios and reduce violation bursts in continuous edge computing.