3 papers
cs.LG2026
Doubly Adaptive Channel and Spatial Attention for Semantic Image Communication by IoT Devices
Soroosh Miri, Sepehr Abolhasani, Shahrokh Farahmand +2
Internet of Things (IoT) networks face significant challenges such as limited communication bandwidth, constrained computational and energy resources, and highly dynamic wireless c…
cs.LG2025
Differentially Private Clipped-SGD: High-Probability Convergence with Arbitrary Clipping Level
Saleh Vatan Khah, Savelii Chezhegov, Shahrokh Farahmand +2
Gradient clipping is a fundamental tool in Deep Learning, improving the high-probability convergence of stochastic first-order methods like SGD, AdaGrad, and Adam under heavy-taile…
cs.MA2025
Energy Efficient Task Offloading in UAV-Enabled MEC Using a Fully Decentralized Deep Reinforcement Learning Approach
Hamidreza Asadian-Rad, Hossein Soleimani, Shahrokh Farahmand
Unmanned aerial vehicles (UAVs) have been recently utilized in multi-access edge computing (MEC) as edge servers. It is desirable to design UAVs' trajectories and user to UAV assig…