Air Computation

Air computation (AirComp) leverages the superposition property of wireless channels to aggregate data from multiple devices simultaneously, significantly reducing communication overhead in distributed machine learning tasks like federated learning. Current research focuses on improving the accuracy and robustness of AirComp-based federated learning algorithms, often employing techniques like lattice coding, adaptive weighting, and power control to mitigate the effects of channel noise and device heterogeneity. This approach holds significant promise for enhancing the scalability and efficiency of distributed AI applications, particularly in resource-constrained wireless environments, by enabling faster and more energy-efficient model training.

Papers

September 12, 2024

Over-the-Air Federated Learning via Weighted Aggregation
Seyed Mohammad Azimi-Abarghouyi, Leandros Tassiulas
Loss Function Air Federated Learning Air Computation Weight Aggregation Adaptive Weight Novel Over the Air Second

September 10, 2024

Compute-Update Federated Learning: A Lattice Coding Approach Over-the-Air
Seyed Mohammad Azimi-Abarghouyi, Lav R. Varshney
Federated Learning Air Computation Joint Source Channel Coding Federated Learning Framework

July 30, 2024

Private Collaborative Edge Inference via Over-the-Air Computation
Selim F. Yilmaz, Burak Hasircioglu, Li Qiao, Deniz Gunduz
Exact Inference Air Computation Collaborative Inference Air Aggregation Private Bayesian

July 16, 2024

Scalable and Reliable Over-the-Air Federated Edge Learning
Maximilian Egger, Christoph Hofmeister, Cem Kaya, Rawad Bitar, Antonia Wachter-Zeh
Potential Scalability Federated Edge Learning Air Federated Learning Air Computation Multiple Access

April 15, 2024

An Autoencoder-Based Constellation Design for AirComp in Wireless Federated Learning
Yujia Mu, Xizixiang Wei, Cong Shen
Federated Learning Digital Modulation Air Computation Wireless Application Deep Learned Constellation Descriptor

April 9, 2024

Collaborative Edge AI Inference over Cloud-RAN
Pengfei Zhang, Dingzhu Wen, Guangxu Zhu, Qimei Chen, Kaifeng Han, Yuanming Shi
Air Computation Collaborative Inference Radio Access Network Joint Beamforming

March 7, 2024

Boosting Fairness and Robustness in Over-the-Air Federated Learning
Halil Yigit Oksuz, Fabio Molinari, Henning Sprekeler, Joerg Raisch
Native Robustness Air Federated Learning Air Computation Decentralized Training Encoding Scheme

March 1, 2024

Federated Learning via Lattice Joint Source-Channel Coding
Seyed Mohammad Azimi-Abarghouyi, Lav R. Varshney
Channel State Information Air Computation Joint Source Channel Coding Distributive Lattice

January 15, 2024

Low-Rank Gradient Compression with Error Feedback for MIMO Wireless Federated Learning
Mingzhao Guo, Dongzhu Liu, Osvaldo Simeone, Dingzhu Wen
Federated Learning Matrix Factorization Error Feedback Multiple Input Multiple Output Gradient Compression Air Computation Low Rank Compression

January 2, 2024

Hierarchical Over-the-Air Federated Learning with Awareness of Interference and Data Heterogeneity
Seyed Mohammad Azimi-Abarghouyi, Viktoria Fodor
Data Heterogeneity Catastrophic Interference Social Awareness Air Computation Stochastic Geometry

October 16, 2023

Over-the-Air Federated Learning and Optimization
Jingyang Zhu, Yuanming Shi, Yong Zhou, Chunxiao Jiang, Wei Chen, Khaled B. Letaief
Optimization Purpose Convergence Guarantee Air Federated Learning Air Computation FedAvg Algorithm

August 25, 2023

Federated Linear Bandit Learning via Over-the-Air Computation
Jiali Wang, Yuning Jiang, Xin Liu, Ting Wang, Yuanming Shi
Regret Bound Cumulative Regret Air Computation Contextual Linear Bandit Federated Bandit

August 17, 2023

August 11, 2023

Wireless Federated $k$-Means Clustering with Non-coherent Over-the-Air Computation
Alphan Sahin
Federated Learning K Mean K$ Mean Air Computation Multiple Access

August 5, 2023

Private Federated Learning with Dynamic Power Control via Non-Coherent Over-the-Air Computation
Anbang Zhang, Shuaishuai Guo, Shuai Liu
Private Federated Learning Air Computation Power Control

July 7, 2023

Over-the-Air Computation in OFDM Systems with Imperfect Channel State Information
Yilong Chen, Huijun Xing, Jie Xu, Lexi Xu, Shuguang Cui
Channel State Information Air Computation Orthogonal Frequency Division Multiplexing Access Point Power Constraint

June 17, 2023

Edge Intelligence Over the Air: Two Faces of Interference in Federated Learning
Zihan Chen, Howard H. Yang, Tony Q. S. Quek
Human Face Catastrophic Interference Edge Intelligence Federated Edge Learning Air Computation Next Generation Wireless Network

May 26, 2023

Channel and Gradient-Importance Aware Device Scheduling for Over-the-Air Federated Learning
Yuchang Sun, Zehong lin, Yuyi Mao, Shi Jin, Jun Zhang
Air Federated Learning Air Computation Channel Quality Uplink Control Device Scheduling

May 8, 2023

Federated Learning in Wireless Networks via Over-the-Air Computations
Halil Yigit Oksuz, Fabio Molinari, Henning Sprekeler, Jörg Raisch
Wireless Network Air Computation Wireless Channel