Novel Beamforming Scheme for Multicasting in Cooperative Wireless Networks With a Multiple Antenna Relay. - Mohammad Mohammadi Amiri; Ali Olfat; Norman C. Beaulieu (IEEE Trans. Wirel. Commun., 2015)

Decentralized coded caching with distinct cache capacities. - Mohammad Mohammadi Amiri; Qianqian Yang 002; Deniz Gündüz (ACSSC, 2016)

Improved delivery rate-cache capacity trade-off for centralized coded caching. - Mohammad Mohammadi Amiri; Deniz Gündüz (ISITA, 2016)

Coded caching for a large number of users. - Mohammad Mohammadi Amiri; Qianqian Yang 002; Deniz Gündüz (ITW, 2016)

Fundamental Limits of Caching: Improved Delivery Rate-Cache Capacity Trade-off. - Mohammad Mohammadi Amiri; Deniz Gündüz (CoRR, 2016)

Cache-aided data delivery over erasure broadcast channels. - Mohammad Mohammadi Amiri; Deniz Gündüz (ICC, 2017)

Audience retention rate aware coded video caching. - Qianqian Yang 002; Mohammad Mohammadi Amiri; Deniz Gündüz (ICC Workshops, 2017)

Decentralized caching and coded delivery over Gaussian broadcast channels. - Mohammad Mohammadi Amiri; Deniz Gündüz (ISIT, 2017)

Fundamental Limits of Coded Caching: Improved Delivery Rate-Cache Capacity Tradeoff. - Mohammad Mohammadi Amiri; Deniz Gündüz (IEEE Trans. Commun., 2017)

Decentralized Caching and Coded Delivery With Distinct Cache Capacities. - Mohammad Mohammadi Amiri; Qianqian Yang 002; Deniz Gündüz (IEEE Trans. Commun., 2017)

Two Novel Adaptive Transmission Schemes in a Decode-and-Forward Relaying Network. - Mohammad Mohammadi Amiri; Behrouz Maham (Wirel. Pers. Commun., 2017)

On the Capacity Region of a Cache-Aided Gaussian Broadcast Channel with Multi-Layer Messages. - Mohammad Mohammadi Amiri; Deniz Gündüz (ISIT, 2018)

Caching and Coded Delivery Over Gaussian Broadcast Channels for Energy Efficiency. - Mohammad Mohammadi Amiri; Deniz Gündüz (IEEE J. Sel. Areas Commun., 2018)

Cache-Aided Content Delivery Over Erasure Broadcast Channels. - Mohammad Mohammadi Amiri; Deniz Gündüz (IEEE Trans. Commun., 2018)

Collaborative Machine Learning at the Wireless Edge with Blind Transmitters. - Mohammad Mohammadi Amiri; Tolga M. Duman; Deniz Gündüz (GlobalSIP, 2019)

Over-the-Air Machine Learning at the Wireless Edge. - Mohammad Mohammadi Amiri; Deniz Gündüz (SPAWC, 2019)

A Low-Complexity Cache-Aided Multi-Antenna Content Delivery Scheme. - Junlin Zhao; Mohammad Mohammadi Amiri; Deniz Gündüz (SPAWC, 2019)

Audience-Retention-Rate-Aware Caching and Coded Video Delivery With Asynchronous Demands. - Qianqian Yang 002; Mohammad Mohammadi Amiri; Deniz Gündüz (IEEE Trans. Commun., 2019)

Computation Scheduling for Distributed Machine Learning With Straggling Workers. - Mohammad Mohammadi Amiri; Deniz Gündüz (IEEE Trans. Signal Process., 2019)

Update Aware Device Scheduling for Federated Learning at the Wireless Edge. - Mohammad Mohammadi Amiri; Deniz Gündüz; Sanjeev R. Kulkarni; H. Vincent Poor (ISIT, 2020)

Communicate to Learn at the Edge. - Deniz Gündüz; David Burth Kurka; Mikolaj Jankowski; Mohammad Mohammadi Amiri; Emre Ozfatura; Sreejith Sreekumar (IEEE Commun. Mag., 2020)

Gradient Estimation for Federated Learning over Massive MIMO Communication Systems. - Yo-Seb Jeon; Mohammad Mohammadi Amiri; Jun Li 004; H. Vincent Poor (CoRR, 2020)

Federated Learning With Quantized Global Model Updates. - Mohammad Mohammadi Amiri; Deniz Gündüz; Sanjeev R. Kulkarni; H. Vincent Poor (CoRR, 2020)

Machine Learning at the Wireless Edge: Distributed Stochastic Gradient Descent Over-the-Air. - Mohammad Mohammadi Amiri; Deniz Gündüz (IEEE Trans. Signal Process., 2020)

Federated Learning Over Wireless Fading Channels. - Mohammad Mohammadi Amiri; Deniz Gündüz (IEEE Trans. Wirel. Commun., 2020)

Multi-Antenna Coded Content Delivery With Caching: A Low-Complexity Solution. - Junlin Zhao; Mohammad Mohammadi Amiri; Deniz Gündüz (IEEE Trans. Wirel. Commun., 2020)

Federated Learning with Downlink Device Selection. - Mohammad Mohammadi Amiri; Sanjeev R. Kulkarni; H. Vincent Poor (SPAWC, 2021)

Blind Federated Edge Learning. - Mohammad Mohammadi Amiri; Tolga M. Duman; Deniz Gündüz; Sanjeev R. Kulkarni; H. Vincent Poor (IEEE Trans. Wirel. Commun., 2021)

Convergence of Update Aware Device Scheduling for Federated Learning at the Wireless Edge. - Mohammad Mohammadi Amiri; Deniz Gündüz; Sanjeev R. Kulkarni; H. Vincent Poor (IEEE Trans. Wirel. Commun., 2021)

A Compressive Sensing Approach for Federated Learning Over Massive MIMO Communication Systems. - Yo-Seb Jeon; Mohammad Mohammadi Amiri; Jun Li 004; H. Vincent Poor (IEEE Trans. Wirel. Commun., 2021)

Private independence testing across two parties. - Praneeth Vepakomma; Mohammad Mohammadi Amiri; Clément L. Canonne; Ramesh Raskar; Alex Pentland (CoRR, 2022)

Wireless for Machine Learning: A Survey. - Henrik Hellström; José Mairton B. da Silva Jr.; Mohammad Mohammadi Amiri; Mingzhe Chen; Viktoria Fodor; H. Vincent Poor; Carlo Fischione (Found. Trends Signal Process., 2022)

Communication-Efficient Federated Learning Over MIMO Multiple Access Channels. - Yo-Seb Jeon; Mohammad Mohammadi Amiri; Namyoon Lee (IEEE Trans. Commun., 2022)

Convergence of Federated Learning Over a Noisy Downlink. - Mohammad Mohammadi Amiri; Deniz Gündüz; Sanjeev R. Kulkarni; H. Vincent Poor (IEEE Trans. Wirel. Commun., 2022)

Fundamentals of Task-Agnostic Data Valuation. - Mohammad Mohammadi Amiri; Frederic Berdoz; Ramesh Raskar (AAAI, 2023)

Incentive-Aware Federated Learning with Training-Time Model Rewards. - Zhaoxuan Wu; Mohammad Mohammadi Amiri; Ramesh Raskar; Bryan Kian Hsiang Low (ICLR, 2024)

Data Measurements for Decentralized Data Markets. - Charles Lu 001; Mohammad Mohammadi Amiri; Ramesh Raskar (CoRR, 2024)

Disentangled Structural and Featural Representation for Task-Agnostic Graph Valuation. - Ali Falahati; Mohammad Mohammadi Amiri (CoRR, 2024)

Greedy centroid initialization for federated K-means. - Kun Yang; Mohammad Mohammadi Amiri; Sanjeev R. Kulkarni (Knowl. Inf. Syst., 2024)

Sparse Gradient Compression for Fine-Tuning Large Language Models. - David H. Yang; Mohammad Mohammadi Amiri; Tejaswini Pedapati; Subhajit Chaudhury; Pin-Yu Chen (CoRR, 2025)

SentenceKV: Efficient LLM Inference via Sentence-Level Semantic KV Caching. - Yuxuan Zhu; Ali Falahati; David H. Yang; Mohammad Mohammadi Amiri (CoRR, 2025)