Participants were divided into three thematic breakout groups, each tasked with examining current constraints and designing feasible collaboration mechanisms.
Lyapunov-Guided Long-Term Fairness-Aware Federated Learning for Collaborative TinyML on Edge Devices
Abstract: Although federated learning (FL) has become a privacy-preserving machine learning paradigm that enables a collaborative form of tiny machine learning (TinyML) on edge devices, unfairness may ...
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