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Risk-Aware Accelerated Wireless Federated Learning with Heterogeneous Clients
However, the location-dependent performance, in terms of transmission rates and susceptibility to transmission errors, poses major challenges for wireless FL's convergence speed and accuracy.
Ultra-Reliable Device-Centric Uplink Communications in Airborne Networks: A Spatiotemporal Analysis
This paper proposes an ultra-reliable device-centric uplink (URDC-UL) communication scheme for airborne networks.
Characterization of the Global Bias Problem in Aerial Federated Learning
To this end, the paper proposes a channel-aware distribution and aggregation scheme to enforce equal contribution from all devices in the FL training as a means to resolve the global bias problem.
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