English(EN) Channel-Adaptive Robust Aggregation for Over-the-Air Federated Learning in Heterogeneous Networks

新研究探索先进的空中联邦学习技术

作者 PulseAugur 编辑部 · [2 个来源] · 2026-07-07 04:00

两篇新研究论文探讨了空中联邦学习（AirFL）的进展，AirFL 是一种利用无线信道进行高效数据聚合的技术。第一篇论文介绍了 AirPASS，一个采用多波导捏合天线系统来优化设备选择、波束成形和天线布局以提高学习性能的框架。第二篇论文提出了 CHARGE-FL，它根据信道动态和客户端异构性自适应地调度聚合，以提高准确性和稳定性，尤其是在具有挑战性的无线环境中。 AI

影响 AirFL 的这些进展可能带来更高效、更鲁棒的分布式人工智能系统，尤其适用于 6G 网络和物联网设备的应用。

排序理由两篇在 arXiv 上发表的学术论文，详细介绍了空中联邦学习的新方法。

在 arXiv cs.LG 阅读 →

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报道来源 [2]

arXiv cs.AI TIER_1 English(EN) · Seyed Mohammad Azimi-Abarghouyi, Christopher G. Brinton · 2026-07-09 04:00

AirPASS: Over-the-Air Federated Learning via Pinching Antenna Systems

arXiv:2607.06768v1 Announce Type: cross Abstract: This paper investigates over-the-air federated learning (AirFL) in wireless systems where the access point is equipped with a multi-waveguide pinching antenna system (PASS). We adopt the widely studied learning-oriented AirFL form…
arXiv cs.LG TIER_1 English(EN) · Zubaida Fatima, Zubair Shaban, Yusuf Jamal, Nazreen Shah, Ranjitha Prasad, B. N. Bharath · 2026-07-07 04:00

Channel-Adaptive Robust Aggregation for Over-the-Air Federated Learning in Heterogeneous Networks

arXiv:2607.04218v1 Announce Type: new Abstract: The growing demand for privacy-preserving, data-intensive applications such as IoT, augmented reality, and autonomous systems positions Federated Learning (FL) as a key enabler in 6G networks. Over-the-Air FL (OTA-FL) leverages the …

报道来源 [2]

AirPASS: Over-the-Air Federated Learning via Pinching Antenna Systems

Channel-Adaptive Robust Aggregation for Over-the-Air Federated Learning in Heterogeneous Networks

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