MultiPathFormer, an autoregressive foundation model that represents each transmitter-receiver link as an ordered sequence of continuous-valued path tokens and pretrains with next-path prediction, is presented, showing that path-level pretraining can learn reusable representations of wireless propagation.
FedSWE is proposed, which admits novel algorithmic structures to compensate for missed computations, stabilize and diffuse the global updates over rounds, and evenly mix the local updates through implicit gossiping, despite being agnostic to non-stationary dynamics.
Ming Xiang, Stratis Ioannidis, Edmund Yeh et al.· 0 citations
FedLNS represents each client update through changes in trainable normalization-layer parameters and screens suspicious updates against a robust, history-aware cross-client reference, and achieves lower test perplexity than the strongest of six baselines for all three architectures under both IID (independently and ide...
Kai Li, Jong-Ik Park, Carlee Joe-Wong et al.· 0 citations
Global Centroid Alignment (GCA), a latent-code-mediated FL protocol that coordinates clients without transmitting AE parameters or gradients, achieves extraction defense comparable to DP-FedAvg, remains effective when DP-FedAvg does not reduce target resemblance, and lowers per-round communication.
Jong-Ik Park, Harry H. Jiang, Logan Blakely et al.· 0 citations
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