1.2k citations · 7.3k across the 281 of their papers we have counts for
26 papers · 1 filter
Wireless-Enabled Asynchronous Federated Fourier Neural Network for Turbulence Prediction in Urban Air Mobility (UAM)
Tengchan Zeng, Omid Semiari, Walid Saad +1
To meet the growing mobility needs in intra-city transportation, the concept of urban air mobility (UAM) has been proposed in which vertical takeoff and landing (VTOL) aircraft are…
Joint Sensing and Communication for Situational Awareness in Wireless THz Systems
Christina Chaccour, Walid Saad, Omid Semiari +2
Next-generation wireless systems are rapidly evolving from communication-only systems to multi-modal systems with integrated sensing and communications. In this paper a novel joint…
Semantic-Aware Collaborative Deep Reinforcement Learning Over Wireless Cellular Networks
Fatemeh Lotfi, Omid Semiari, Walid Saad
Collaborative deep reinforcement learning (CDRL) algorithms in which multiple agents can coordinate over a wireless network is a promising approach to enable future intelligent and…
Common Language for Goal-Oriented Semantic Communications: A Curriculum Learning Framework
Mohammad Karimzadeh Farshbafan, Walid Saad, Merouane Debbah
Semantic communications will play a critical role in enabling goal-oriented services over next-generation wireless systems. However, most prior art in this domain is restricted to…
On the Tradeoff between Energy, Precision, and Accuracy in Federated Quantized Neural Networks
Minsu Kim, Walid Saad, Mohammad Mozaffari +1
Deploying federated learning (FL) over wireless networks with resource-constrained devices requires balancing between accuracy, energy efficiency, and precision. Prior art on FL of…
Two-Bit Aggregation for Communication Efficient and Differentially Private Federated Learning
Mohammad Aghapour, Aidin Ferdowsi, Walid Saad
In federated learning (FL), a machine learning model is trained on multiple nodes in a decentralized manner, while keeping the data local and not shared with other nodes. However,…