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.
Collaborative inference in the extreme edge: A proactive task allocation scheme
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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.