Mixed-Timescale Differential Coding for Downlink Model Broadcast in Wireless Federated Learning

2026-07-16T08:51:42Z9b677a8d101eae815ef753c0a2315337a59e2f230bcae738ca7a266a1aaf9604
BD-RISDSAC-TGWH matricesGeneralized Weighing-HadamardGray codesMECN-Sum Box protocols','algorithmic information theory','symmetry_coding theorydifferential codingdistributional reinforcement learningdownlink reliabilityentanglement-assisted computationfederated learninggeneralized product codesiterative decodingmixed-timescalemobile edge computingposet codesquantum networksr-minimal codesreconfigurable intelligent surfaceresource allocationsingle-track Gray codesoft-aided decodingwireless downlink

What happened

Collection of recent arXiv papers (Jul 16 2026) spanning communications, coding theory, distributed learning, and quantum information. Highlights include: mixed-timescale differential coding (MTDC) to mitigate downlink loss in wireless federated learning; active beyond-diagonal RIS and a distributional RL solver (DSAC-T) for energy-aware MEC offloading; constructions and algebraic properties of Generalized Weighing–Hadamard matrices and multiple new results in coding theory (r-minimal poset codes, non-binary single-track Gray codes, and low-complexity decoders for generalized product codes); a

Why it matters

A reviewed impact interpretation has not been published for this record.

Evidence and limitations

Source ID
arxiv_math_it
Record identifier
9b677a8d101eae815ef753c0a2315337a59e2f230bcae738ca7a266a1aaf9604
Enrichment time
2026-07-16T08:51:42Z
AI-assisted enrichment
Yes

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