Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Asaad, Saba"'
Second-order methods are widely adopted to improve the convergence rate of learning algorithms. In federated learning (FL), these methods require the clients to share their local Hessian matrices with the parameter server (PS), which comes at a prohi
Externí odkaz:
http://arxiv.org/abs/2412.03867
Over-the-air federated learning (OTA-FL) is an emerging technique to reduce the computation and communication overload at the PS caused by the orthogonal transmissions of the model updates in conventional federated learning (FL). This reduction is ac
Externí odkaz:
http://arxiv.org/abs/2305.17022
This work studies a low-complexity design for reconfigurable intelligent surface (RIS)-aided multiuser multiple-input multiple-output systems. The base station (BS) applies receive antenna selection to connect a subset of its antennas to the availabl
Externí odkaz:
http://arxiv.org/abs/2212.13684
Classical antenna selection schemes require instantaneous channel state information (CSI). This leads to high signaling overhead in the system. This work proposes a novel joint receive antenna selection and precoding scheme for multiuser multiple-inp
Externí odkaz:
http://arxiv.org/abs/2212.13680
This work studies the task of device coordination in wireless networks for over-the-air federated learning (OTA-FL). For conventional metrics of aggregation error, the task is shown to describe the zero-forcing (ZF) and minimum mean squared error (MM
Externí odkaz:
http://arxiv.org/abs/2211.03449
Autor:
Bereyhi, Ali, Vagollari, Adela, Asaad, Saba, Müller, Ralf R., Gerstacker, Wolfgang, Poor, H. Vincent
This paper develops a class of low-complexity device scheduling algorithms for over-the-air federated learning via the method of matching pursuit. The proposed scheme tracks closely the close-to-optimal performance achieved by difference-of-convex pr
Externí odkaz:
http://arxiv.org/abs/2206.06679
Autor:
Bereyhi, Ali, Asaad, Saba, Ouyang, Chongjun, Müller, Ralf R., Schaefer, Rafael F., Poor, H. Vincent
This work extends the concept of channel hardening to multi-antenna systems that are aided by intelligent reflecting surfaces (IRSs). For fading links between a multi-antenna transmitter and a single-antenna receiver, we derive an accurate approximat
Externí odkaz:
http://arxiv.org/abs/2205.15642
Autor:
Bereyhi, Ali, Asaad, Saba, Ouyang, Chongjun, Müller, Ralf R., Schaefer, Rafael F., Poor, H. Vincent
Unlike active array antennas, intelligent reflecting surfaces (IRSs) are efficiently implemented at large dimensions. This allows for traceable realizations of large-scale IRS-aided MIMO systems in which not necessarily the array antennas, but the pa
Externí odkaz:
http://arxiv.org/abs/2203.11592
This letter studies the ergodic mutual information (EMI) of keyhole multiple-input multiple-output channels having finite-alphabet input signals. The EMI is first investigated for single-stream transmission considering both cases with and without the
Externí odkaz:
http://arxiv.org/abs/2112.04415
Intelligent reflecting surfaces (IRSs) enable multiple-input multiple-output (MIMO) transmitters to modify the communication channels between the transmitters and receivers. In the presence of eavesdropping terminals, this degree of freedom can be us
Externí odkaz:
http://arxiv.org/abs/2104.10977