… the innovative learning framework is realized by decentralized learning [18] and ensemble
… learning framework based on decentralized learning and ensemble learning. The hybrid …

… and performance limitations of centralized learning automatic modulation classification (CentAMC)
method, this paper proposes a decentralized learning AMC (DecentAMC) method …

… However, the lightweight seems to be a contradiction with the classification performance in
… an efficient lightweight decentralized learning-based automatic modulation classification (…

… Considering the advantages of decentralized learning and ResNet, we propose a decentralized
learning method for AMC in the drons communication systems based on ResNet, which …

… Another solution to overcome the high complexity of deep models is the decentralized
learning, where a single model is trained on multiple servers with local datasets distributed …

… for the modulation classification for the next demodulation. … automatic modulation classification
via deep learning and … technology for automatic modulation classification in edge device,” …

… ) for realizing automatic modulation classification (AMC). In this paper, a lightweight
neural network for decentralized learning-based automatic modulation classification (DecentAMC) …

… of decentralized learning and ResNet, we propose a decentralized learning method for
AMC … • We propose an AMC method using decentralized learning and residual network (ResNet). …

… Abstract—Automatic modulation classification (AMC) is one of the major challenges for …
decentralized learning AMC method was proposed to avoid limitations of the centralized learning …

… Abstract—Automatic modulation classification (AMC) enables significant applications in both
… Adachi, “Lightweight automatic modulation classification based on decentralized learning,” …