Mohammad Mohammadi Amiri

Orcid: 0000-0003-0701-9591

According to our database1, Mohammad Mohammadi Amiri authored at least 49 papers between 2015 and 2025.

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Bibliography

2025
Optimal Singular Damage: Efficient LLM Inference in Low Storage Regimes.
CoRR, November, 2025

Power to the Clients: Federated Learning in a Dictatorship Setting.
CoRR, October, 2025

Scalable, Explainable and Provably Robust Anomaly Detection with One-Step Flow Matching.
CoRR, October, 2025

Towards Reversible Model Merging For Low-rank Weights.
CoRR, October, 2025

A Median Perspective on Unlabeled Data for Out-of-Distribution Detection.
CoRR, October, 2025

OFMU: Optimization-Driven Framework for Machine Unlearning.
CoRR, September, 2025

OjaKV: Context-Aware Online Low-Rank KV Cache Compression with Oja's Rule.
CoRR, September, 2025

Toward Efficient Influence Function: Dropout as a Compression Tool.
CoRR, September, 2025

SentenceKV: Efficient LLM Inference via Sentence-Level Semantic KV Caching.
CoRR, April, 2025

Sparse Gradient Compression for Fine-Tuning Large Language Models.
CoRR, February, 2025

2024
Disentangled Structural and Featural Representation for Task-Agnostic Graph Valuation.
CoRR, 2024

Data Measurements for Decentralized Data Markets.
CoRR, 2024

Incentive-Aware Federated Learning with Training-Time Model Rewards.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Greedy Centroid Initialization for Federated K-means.
Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023

Fundamentals of Task-Agnostic Data Valuation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Convergence of Federated Learning Over a Noisy Downlink.
IEEE Trans. Wirel. Commun., 2022

Communication-Efficient Federated Learning Over MIMO Multiple Access Channels.
IEEE Trans. Commun., 2022

Wireless for Machine Learning: A Survey.
Found. Trends Signal Process., 2022

Private independence testing across two parties.
CoRR, 2022

2021
A Compressive Sensing Approach for Federated Learning Over Massive MIMO Communication Systems.
IEEE Trans. Wirel. Commun., 2021

Convergence of Update Aware Device Scheduling for Federated Learning at the Wireless Edge.
IEEE Trans. Wirel. Commun., 2021

Blind Federated Edge Learning.
IEEE Trans. Wirel. Commun., 2021

Federated Learning with Downlink Device Selection.
Proceedings of the 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2021

2020
Multi-Antenna Coded Content Delivery With Caching: A Low-Complexity Solution.
IEEE Trans. Wirel. Commun., 2020

Federated Learning Over Wireless Fading Channels.
IEEE Trans. Wirel. Commun., 2020

Federated Learning With Quantized Global Model Updates.
CoRR, 2020

Gradient Estimation for Federated Learning over Massive MIMO Communication Systems.
CoRR, 2020

Communicate to Learn at the Edge.
IEEE Commun. Mag., 2020

Update Aware Device Scheduling for Federated Learning at the Wireless Edge.
Proceedings of the IEEE International Symposium on Information Theory, 2020

2019
Audience-Retention-Rate-Aware Caching and Coded Video Delivery With Asynchronous Demands.
IEEE Trans. Commun., 2019

A Low-Complexity Cache-Aided Multi-Antenna Content Delivery Scheme.
Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019

Over-the-Air Machine Learning at the Wireless Edge.
Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019

Machine Learning at the Wireless Edge: Distributed Stochastic Gradient Descent Over-the-Air.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Computation Scheduling for Distributed Machine Learning with Straggling Workers.
Proceedings of the IEEE International Conference on Acoustics, 2019

Collaborative Machine Learning at the Wireless Edge with Blind Transmitters.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

2018
Cache-Aided Content Delivery Over Erasure Broadcast Channels.
IEEE Trans. Commun., 2018

Caching and Coded Delivery Over Gaussian Broadcast Channels for Energy Efficiency.
IEEE J. Sel. Areas Commun., 2018

On the Capacity Region of a Cache-Aided Gaussian Broadcast Channel with Multi-Layer Messages.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

2017
Two Novel Adaptive Transmission Schemes in a Decode-and-Forward Relaying Network.
Wirel. Pers. Commun., 2017

Decentralized Caching and Coded Delivery With Distinct Cache Capacities.
IEEE Trans. Commun., 2017

Fundamental Limits of Coded Caching: Improved Delivery Rate-Cache Capacity Tradeoff.
IEEE Trans. Commun., 2017

Decentralized caching and coded delivery over Gaussian broadcast channels.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Audience retention rate aware coded video caching.
Proceedings of the 2017 IEEE International Conference on Communications Workshops, 2017

Cache-aided data delivery over erasure broadcast channels.
Proceedings of the IEEE International Conference on Communications, 2017

2016
Fundamental Limits of Caching: Improved Delivery Rate-Cache Capacity Trade-off.
CoRR, 2016

Coded caching for a large number of users.
Proceedings of the 2016 IEEE Information Theory Workshop, 2016

Improved delivery rate-cache capacity trade-off for centralized coded caching.
Proceedings of the 2016 International Symposium on Information Theory and Its Applications, 2016

Decentralized coded caching with distinct cache capacities.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015
Novel Beamforming Scheme for Multicasting in Cooperative Wireless Networks With a Multiple Antenna Relay.
IEEE Trans. Wirel. Commun., 2015


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