Efficient and Secure: Privacy-Preserving Federated Learning for Resource-Constrained Devices. - Muhammad Ayat Hidayat; Yugo Nakamura; Yutaka Arakawa (MDM, 2023)

AGC-DP: Differential Privacy with Adaptive Gaussian Clipping for Federated Learning. - Muhammad Ayat Hidayat; Yugo Nakamura; Billy Dawton; Yutaka Arakawa (MDM, 2023)

Demo : Privacy-Preserving Decentralized Machine Learning Framework for Clustered Resource-Constrained Devices. - Muhammad Ayat Hidayat; Yugo Nakamura; Yutaka Arakawa (MobiSys, 2024)

Enhancing Efficiency in Privacy-Preserving Federated Learning for Healthcare: Adaptive Gaussian Clipping With DFT Aggregator. - Muhammad Ayat Hidayat; Yugo Nakamura; Yutaka Arakawa (IEEE Access, 2024)

Privacy-Preserving Federated Learning With Resource-Adaptive Compression for Edge Devices. - Muhammad Ayat Hidayat; Yugo Nakamura; Yutaka Arakawa (IEEE Internet Things J., 2024)

FedCSAC: Improving Accuracy and Privacy in Fully Decentralized Machine Learning with Clustered Sharding and Adaptive Differential Privacy Clipping. - Muhammad Ayat Hidayat; Yugo Nakamura; Yutaka Arakawa (CCNC, 2025)