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Federated Learning in Non-IID Settings Aided by Differentially Private Synthetic Data



Huancheng Chen , Haris Vikalo


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Federated Learning Under Intermittent Client Availability and Time-Varying Communication Constraints



Monica Ribero , Haris Vikalo , Gustavo De Veciana


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End-to-end system for object detection from sub-sampled radar data



Madhumitha Sakthi , Ahmed Tewfik , Marius Arvinte , Haris Vikalo

* Submitted to EUSIPCO 2022 

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Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better



Sameer Bibikar , Haris Vikalo , Zhangyang Wang , Xiaohan Chen


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Opportunistic Federated Learning: An Exploration of Egocentric Collaboration for Pervasive Computing Applications



Sangsu Lee , Xi Zheng , Jie Hua , Haris Vikalo , Christine Julien


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On the Benefits of Multiple Gossip Steps in Communication-Constrained Decentralized Optimization



Abolfazl Hashemi , Anish Acharya , Rudrajit Das , Haris Vikalo , Sujay Sanghavi , Inderjit Dhillon


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Real-Time Radio Technology and Modulation Classification via an LSTM Auto-Encoder



Ziqi Ke , Haris Vikalo


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Communication-Efficient Federated Learning via Optimal Client Sampling



Monica Ribero , Haris Vikalo


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Federating Recommendations Using Differentially Private Prototypes



Mónica Ribero , Jette Henderson , Sinead Williamson , Haris Vikalo


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Evolutionary Clustering via Message Passing



Natalia M. Arzeno , Haris Vikalo

* To be published in IEEE Transactions on Knowledge and Data Engineering 

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