As 6G and beyond networks grow increasingly complex and interconnected, federated learning (FL) emerges as an indispensable paradigm for securely and efficiently leveraging decentralized edge data for AI. By virtue of the superposition property of communication signals, over-the-air FL (OtA-FL) achieves constant commun...
Jonggyu Jang, Hyeonsu Lyu, D. J. Love et al.· IEEE Journal on Selected Are...· 4 citations
AirGC-CD, an over-the-air scheme that precodes each local update with a partial Gaussian circulant matrix before clipping, is proposed, and it is proved that the resulting aggregate is exactly unbiased, with clipping adding only variance.
The joint optimization of user association and resource allocation (UARA) is a fundamental challenge in modern wireless networks, essential for balancing performance, user fairness, and efficiency under growing service demands. Given the latency constraints of emerging applications, distributed pricing-based strategies...
Jonggyu Jang, Hyeonsu Lyu, D. J. Love et al.· IEEE Transactions on Communi...· 0 citations
Deep joint source and channel coding (JSCC) transmits a source by mapping it directly to channel symbols through an end-to-end deep neural network (DNN) and reconstructing it at the receiver. Taking image transmission as an application, this DNN pipeline behaves as a black box: the receiver cannot readily detect securi...
Seongkyu Yang, Hyeonho Noh, Hyun Jong Yang et al.· 0 citations
MaskCode is proposed, a Transformer-based inner feedback code for concatenated coding systems, which explicitly incorporates structural knowledge of the outer linear block code into the inner feedback encoder design via two synergistic mechanisms: a soft syndrome-based input that informs the encoder about potential par...
Jonggyu Jang, Hongjae Nam, Vishrant Tripathi et al.· 0 citations
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