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ORCIDOsvaldo Simeone
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- affiliation: King's College London, UK
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2020 – today
- 2023
[j195]Hari Hara Suthan Chittoor
, Osvaldo Simeone:
Quantum Machine Learning for Distributed Quantum Protocols with Local Operations and Noisy Classical Communications. Entropy 25(2): 352 (2023)- [j194]Lisha Chen, Sharu Theresa Jose, Ivana Nikoloska, Sangwoo Park, Tianyi Chen, Osvaldo Simeone:
Learning with Limited Samples: Meta-Learning and Applications to Communication Systems. Found. Trends Signal Process. 17(2): 79-208 (2023) - [j193]Jinu Gong, Osvaldo Simeone, Joonhyuk Kang:
Compressed Particle-Based Federated Bayesian Learning and Unlearning. IEEE Commun. Lett. 27(2): 556-560 (2023) - [j192]Meiyi Zhu, Chunyan Feng, Caili Guo, Nan Jiang, Osvaldo Simeone:
Information Bottleneck-Inspired Type Based Multiple Access for Remote Estimation in IoT Systems. IEEE Signal Process. Lett. 30: 403-407 (2023) - [j191]Jiechen Chen, Nicolas Skatchkovsky, Osvaldo Simeone:
Neuromorphic Wireless Cognition: Event-Driven Semantic Communications for Remote Inference. IEEE Trans. Cogn. Commun. Netw. 9(2): 252-265 (2023) - [j190]Ivana Nikoloska, Osvaldo Simeone:
Modular Meta-Learning for Power Control via Random Edge Graph Neural Networks. IEEE Trans. Wirel. Commun. 22(1): 457-470 (2023) - [j189]Dongzhu Liu, Osvaldo Simeone:
Wireless Federated Langevin Monte Carlo: Repurposing Channel Noise for Bayesian Sampling and Privacy. IEEE Trans. Wirel. Commun. 22(5): 2946-2961 (2023) - [j188]Jiechen Chen, Nicolas Skatchkovsky, Osvaldo Simeone:
Neuromorphic Integrated Sensing and Communications. IEEE Wirel. Commun. Lett. 12(3): 476-480 (2023) - [i250]Yunchuan Zhang, Osvaldo Simeone, Sharu Theresa Jose, Lorenzo Maggi, Alvaro Valcarce:
Bayesian and Multi-Armed Contextual Meta-Optimization for Efficient Wireless Radio Resource Management. CoRR abs/2301.06510 (2023) - [i249]Ivana Nikoloska, Osvaldo Simeone, Leonardo Banchi, Petar Velickovic:
Time-Warping Invariant Quantum Recurrent Neural Networks via Quantum-Classical Adaptive Gating. CoRR abs/2301.08173 (2023) - [i248]Prabodh Katti, Nicolas Skatchkovsky, Osvaldo Simeone, Bipin Rajendran, Bashir M. Al-Hashimi:
Bayesian Inference on Binary Spiking Networks Leveraging Nanoscale Device Stochasticity. CoRR abs/2302.01302 (2023) - [i247]Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Nir Shlezinger:
Modular Model-Based Bayesian Learning for Uncertainty-Aware and Reliable Deep MIMO Receivers. CoRR abs/2302.02436 (2023) - [i246]Kfir M. Cohen, Sangwoo Park, Osvaldo Simeone, Petar Popovski, Shlomo Shamai:
Guaranteed Dynamic Scheduling of Ultra-Reliable Low-Latency Traffic via Conformal Prediction. CoRR abs/2302.07675 (2023) - [i245]Sangwoo Park, Osvaldo Simeone:
Quantum Conformal Prediction for Reliable Uncertainty Quantification in Quantum Machine Learning. CoRR abs/2304.03398 (2023) - [i244]Boning Zhang, Dongzhu Liu, Osvaldo Simeone, Guangxu Zhu:
Bayesian Over-the-Air FedAvg via Channel Driven Stochastic Gradient Langevin Dynamics. CoRR abs/2305.04152 (2023) - [i243]Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Yonina C. Eldar, Nir Shlezinger:
Adaptive and Flexible Model-Based AI for Deep Receivers in Dynamic Channels. CoRR abs/2305.07309 (2023) - [i242]Jiayi Huang, Sangwoo Park, Osvaldo Simeone:
Calibration-Aware Bayesian Learning. CoRR abs/2305.07504 (2023) - [i241]Haifeng Wen, Hong Xing, Osvaldo Simeone:
Convergence Analysis of Over-the-Air FL with Compression and Power Control via Clipping. CoRR abs/2305.11135 (2023) - [i240]Jiechen Chen, Sangwoo Park, Osvaldo Simeone:
SpikeCP: Delay-Adaptive Reliable Spiking Neural Networks via Conformal Prediction. CoRR abs/2305.11322 (2023) - 2022
- [j187]Nidhi Simmons, Samuel Borges Ferreira Gomes, Michel Daoud Yacoub, Osvaldo Simeone, Simon L. Cotton, David E. Simmons:
AI-Based Channel Prediction in D2D Links: An Empirical Validation. IEEE Access 10: 65459-65472 (2022) - [j186]Sharu Theresa Jose, Osvaldo Simeone:
An Information-Theoretic Analysis of the Cost of Decentralization for Learning and Inference under Privacy Constraints. Entropy 24(4): 485 (2022) - [j185]Sangwoo Park, Osvaldo Simeone:
Speeding up Training of Linear Predictors for Multi-Antenna Frequency-Selective Channels via Meta-Learning. Entropy 24(10): 1363 (2022) - [j184]Nicolas Skatchkovsky, Hyeryung Jang, Osvaldo Simeone:
Bayesian continual learning via spiking neural networks. Frontiers Comput. Neurosci. 16 (2022) - [j183]Osvaldo Simeone:
An Introduction to Quantum Machine Learning for Engineers. Found. Trends Signal Process. 16(1-2): 1-223 (2022) - [j182]Rahif Kassab, Andrea Munari, Federico Clazzer, Osvaldo Simeone:
Grant-Free Coexistence of Critical and Noncritical IoT Services in Two-Hop Satellite and Terrestrial Networks. IEEE Internet Things J. 9(16): 14829-14843 (2022) - [j181]Dongzhu Liu, Osvaldo Simeone:
Channel-Driven Monte Carlo Sampling for Bayesian Distributed Learning in Wireless Data Centers. IEEE J. Sel. Areas Commun. 40(2): 562-577 (2022) - [j180]Ivana Nikoloska, Osvaldo Simeone:
Training Hybrid Classical-Quantum Classifiers via Stochastic Variational Optimization. IEEE Signal Process. Lett. 29: 977-981 (2022) - [j179]Wei Jiang, Alexander M. Haimovich, Osvaldo Simeone:
Joint Design of Radar Waveform and Detector via End-to-End Learning With Waveform Constraints. IEEE Trans. Aerosp. Electron. Syst. 58(1): 552-567 (2022) - [j178]Zhenghao Guo, Verity M. McClelland, Osvaldo Simeone, Kerry R. Mills, Zoran Cvetkovic:
Multiscale Wavelet Transfer Entropy With Application to Corticomuscular Coupling Analysis. IEEE Trans. Biomed. Eng. 69(2): 771-782 (2022) - [j177]Bleema Rosenfeld, Osvaldo Simeone, Bipin Rajendran:
Spiking Generative Adversarial Networks With a Neural Network Discriminator: Local Training, Bayesian Models, and Continual Meta-Learning. IEEE Trans. Computers 71(11): 2778-2791 (2022) - [j176]Roy Karasik, Osvaldo Simeone, Hyeryung Jang, Shlomo Shamai Shitz:
Learning to Broadcast for Ultra-Reliable Communication With Differential Quality of Service via the Conditional Value at Risk. IEEE Trans. Commun. 70(12): 8060-8074 (2022) - [j175]Sharu Theresa Jose, Osvaldo Simeone, Giuseppe Durisi:
Transfer Meta-Learning: Information- Theoretic Bounds and Information Meta-Risk Minimization. IEEE Trans. Inf. Theory 68(1): 474-501 (2022) - [j174]Hyeryung Jang, Osvaldo Simeone:
Multisample Online Learning for Probabilistic Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 33(5): 2034-2044 (2022) - [j173]Rahif Kassab, Osvaldo Simeone:
Federated Generalized Bayesian Learning via Distributed Stein Variational Gradient Descent. IEEE Trans. Signal Process. 70: 2180-2192 (2022) - [j172]Kfir M. Cohen, Sangwoo Park, Osvaldo Simeone, Shlomo Shamai:
Bayesian Active Meta-Learning for Reliable and Efficient AI-Based Demodulation. IEEE Trans. Signal Process. 70: 5366-5380 (2022) - [j171]Yusha Liu, Osvaldo Simeone:
Learning How to Transfer From Uplink to Downlink via Hyper-Recurrent Neural Network for FDD Massive MIMO. IEEE Trans. Wirel. Commun. 21(10): 7975-7989 (2022) - [c198]Zareen Khan, Wei Jiang, Alexander M. Haimovich, Mark A. Govoni, Timothy Garner, Osvaldo Simeone:
Fast Adaptation of Radar Detection via Online Meta-learning. IEEECONF 2022: 580-585 - [c197]Sharu Theresa Jose, Sangwoo Park, Osvaldo Simeone:
Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning. AISTATS 2022: 9758-9775 - [c196]Hari Hara Suthan Chittoor, Osvaldo Simeone:
Robust Distributed Bayesian Learning with Stragglers via Consensus Monte Carlo. GLOBECOM 2022: 609-614 - [c195]Sangwoo Park, Osvaldo Simeone:
Predicting Flat-Fading Channels via Meta-Learned Closed-Form Linear Filters and Equilibrium Propagation. ICASSP 2022: 8817-8821 - [c194]Daesung Yu, Seok-Hwan Park, Osvaldo Simeone, Shlomo Shamai Shitz:
Robust Design of Rate-Splitting Multiple Access With Imperfect CSI for Cell-Free MIMO Systems. ICC Workshops 2022: 604-609 - [c193]Roy Karasik, Osvaldo Simeone, Shlomo Shamai Shitz:
Learning to Broadcast with Layered Division Multiplexing. ISIT 2022: 2696-2701 - [c192]Feng Zhu, Jingjing Zhang, Osvaldo Simeone, Xin Wang:
Adaptive Worker Grouping for Communication-Efficient and Straggler-Tolerant Distributed SGD. ISIT 2022: 2996-3000 - [c191]Ivana Nikoloska, Osvaldo Simeone:
Quantum-Aided Meta-Learning for Bayesian Binary Neural Networks via Born Machines. MLSP 2022: 1-6 - [c190]Ivana Nikoloska, Osvaldo Simeone:
Bayesian Active Meta-Learning for Black-Box Optimization. SPAWC 2022: 1-5 - [c189]Yunchuan Zhang, Dongzhu Liu, Osvaldo Simeone:
Leveraging Channel Noise for Sampling and Privacy via Quantized Federated Langevin Monte Carlo. SPAWC 2022: 1-5 - [i239]Feng Zhu, Jingjing Zhang, Osvaldo Simeone, Xin Wang:
Adaptive Worker Grouping For Communication-Efficient and Straggler-Tolerant Distributed SGD. CoRR abs/2201.04301 (2022) - [i238]Sharu Theresa Jose, Osvaldo Simeone:
Transfer Learning in Quantum Parametric Classifiers: An Information-Theoretic Generalization Analysis. CoRR abs/2201.06297 (2022) - [i237]Ivana Nikoloska, Osvaldo Simeone:
Training Hybrid Classical-Quantum Classifiers via Stochastic Variational Optimization. CoRR abs/2201.08629 (2022) - [i236]Yunchuan Zhang, Dongzhu Liu, Osvaldo Simeone:
Leveraging Channel Noise for Sampling and Privacy via Quantized Federated Langevin Monte Carlo. CoRR abs/2202.13932 (2022) - [i235]Matteo Zecchin, Sangwoo Park, Osvaldo Simeone, Marios Kountouris, David Gesbert:
Robust PACm: Training Ensemble Models Under Model Misspecification and Outliers. CoRR abs/2203.01859 (2022) - [i234]Daesung Yu, Seok-Hwan Park, Osvaldo Simeone, Shlomo Shamai:
Robust Design of Rate-Splitting Multiple Access With Imperfect CSI for Cell-Free MIMO Systems. CoRR abs/2203.03690 (2022) - [i233]Sangwoo Park, Osvaldo Simeone:
Predicting Multi-Antenna Frequency-Selective Channels via Meta-Learned Linear Filters based on Long-Short Term Channel Decomposition. CoRR abs/2203.12715 (2022) - [i232]Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Yonina C. Eldar, Nir Shlezinger:
Online Meta-Learning For Hybrid Model-Based Deep Receivers. CoRR abs/2203.14359 (2022) - [i231]Ivana Nikoloska, Osvaldo Simeone:
Quantum-Aided Meta-Learning for Bayesian Binary Neural Networks via Born Machines. CoRR abs/2203.17089 (2022) - [i230]Hari Hara Suthan Chittoor, Osvaldo Simeone:
Learning Quantum Entanglement Distillation with Noisy Classical Communications. CoRR abs/2205.08561 (2022) - [i229]Osvaldo Simeone:
An Introduction to Quantum Machine Learning for Engineers. CoRR abs/2205.09510 (2022) - [i228]Jiechen Chen, Nicolas Skatchkovsky, Osvaldo Simeone:
Neuromorphic Wireless Cognition: Event-Driven Semantic Communications for Remote Inference. CoRR abs/2206.06047 (2022) - [i227]Matteo Zecchin, Sangwoo Park, Osvaldo Simeone, Marios Kountouris, David Gesbert:
Robust Bayesian Learning for Reliable Wireless AI: Framework and Applications. CoRR abs/2207.00300 (2022) - [i226]Riccardo Marini, Sangwoo Park, Osvaldo Simeone, Chiara Buratti:
Continual Meta-Reinforcement Learning for UAV-Aided Vehicular Wireless Networks. CoRR abs/2207.06131 (2022) - [i225]Hari Hara Suthan Chittoor, Osvaldo Simeone:
Learning Distributed Quantum State Discrimination with Noisy Classical Communications. CoRR abs/2207.11354 (2022) - [i224]Nicolas Skatchkovsky, Hyeryung Jang, Osvaldo Simeone:
Bayesian Continual Learning via Spiking Neural Networks. CoRR abs/2208.13723 (2022) - [i223]Jinu Gong, Osvaldo Simeone, Joonhyuk Kang:
Compressed Particle-Based Federated Bayesian Learning and Unlearning. CoRR abs/2209.07267 (2022) - [i222]Sharu Theresa Jose, Osvaldo Simeone:
Error Mitigation-Aided Optimization of Parameterized Quantum Circuits: Convergence Analysis. CoRR abs/2209.11514 (2022) - [i221]Jiechen Chen, Nicolas Skatchkovsky, Osvaldo Simeone:
Neuromorphic Integrated Sensing and Communications. CoRR abs/2209.11891 (2022) - [i220]Lisha Chen, Sharu Theresa Jose, Ivana Nikoloska, Sangwoo Park, Tianyi Chen, Osvaldo Simeone:
Learning with Limited Samples - Meta-Learning and Applications to Communication Systems. CoRR abs/2210.02515 (2022) - [i219]Sangwoo Park, Kfir M. Cohen, Osvaldo Simeone:
Few-Shot Calibration of Set Predictors via Meta-Learned Cross-Validation-Based Conformal Prediction. CoRR abs/2210.03067 (2022) - [i218]Kfir M. Cohen, Sangwoo Park, Osvaldo Simeone, Shlomo Shamai:
Calibrating AI Models for Few-Shot Demodulation via Conformal Prediction. CoRR abs/2210.04621 (2022) - [i217]Wenbo Du, Tao Tan, Haijun Zhang, Xianbin Cao, Gang Yan, Osvaldo Simeone:
Network Topology Inference based on Timing Meta-Data. CoRR abs/2210.05439 (2022) - [i216]Clement Ruah, Osvaldo Simeone, Bashir M. Al-Hashimi:
Digital Twin-Based Multiple Access Optimization and Monitoring via Model-Driven Bayesian Learning. CoRR abs/2210.05582 (2022) - [i215]Clement Ruah, Osvaldo Simeone, Bashir M. Al-Hashimi:
A Bayesian Framework for Digital Twin-Based Control, Monitoring, and Data Collection in Wireless Systems. CoRR abs/2212.01351 (2022) - [i214]Hari Hara Suthan Chittoor, Osvaldo Simeone, Leonardo Banchi, Stefano Pirandola:
Online Convex Optimization of Programmable Quantum Computers to Simulate Time-Varying Quantum Channels. CoRR abs/2212.05145 (2022) - [i213]Kfir M. Cohen, Sangwoo Park, Osvaldo Simeone, Shlomo Shamai:
Calibrating AI Models for Wireless Communications via Conformal Prediction. CoRR abs/2212.07775 (2022) - [i212]Meiyi Zhu, Chunyan Feng, Caili Guo, Zhe Liu, Nan Jiang, Osvaldo Simeone:
Semantics-Aware Remote Estimation via Information Bottleneck-Inspired Type Based Multiple Access. CoRR abs/2212.09337 (2022) - 2021
- [j170]Sharu Theresa Jose, Osvaldo Simeone:
Information-Theoretic Generalization Bounds for Meta-Learning and Applications. Entropy 23(1): 126 (2021) - [j169]Hyeryung Jang, Nicolas Skatchkovsky, Osvaldo Simeone:
Spiking Neural Networks - Part I: Detecting Spatial Patterns. IEEE Commun. Lett. 25(6): 1736-1740 (2021) - [j168]Nicolas Skatchkovsky, Hyeryung Jang, Osvaldo Simeone:
Spiking Neural Networks - Part II: Detecting Spatio-Temporal Patterns. IEEE Commun. Lett. 25(6): 1741-1745 (2021) - [j167]Nicolas Skatchkovsky, Hyeryung Jang, Osvaldo Simeone:
Spiking Neural Networks - Part III: Neuromorphic Communications. IEEE Commun. Lett. 25(6): 1746-1750 (2021) - [j166]Dongzhu Liu, Osvaldo Simeone:
Privacy for Free: Wireless Federated Learning via Uncoded Transmission With Adaptive Power Control. IEEE J. Sel. Areas Commun. 39(1): 170-185 (2021) - [j165]Hong Xing, Osvaldo Simeone, Suzhi Bi:
Federated Learning Over Wireless Device-to-Device Networks: Algorithms and Convergence Analysis. IEEE J. Sel. Areas Commun. 39(12): 3723-3741 (2021) - [j164]Pulkit Grover, Viveck R. Cadambe, Sennur Ulukus, Stark C. Draper, Salman Avestimehr, Osvaldo Simeone:
Guest Editorial for Special Issue on Coded Computing. IEEE J. Sel. Areas Inf. Theory 2(3): 813 (2021) - [j163]Johannes Dommel, Zoran Utkovski, Osvaldo Simeone, Slawomir Stanczak:
Joint Source-Channel Coding for Semantics-Aware Grant-Free Radio Access in IoT Fog Networks. IEEE Signal Process. Lett. 28: 728-732 (2021) - [j162]Sharu Theresa Jose, Osvaldo Simeone:
Free Energy Minimization: A Unified Framework for Modeling, Inference, Learning, and Optimization [Lecture Notes]. IEEE Signal Process. Mag. 38(2): 120-125 (2021) - [j161]Kuikui Li, Meixia Tao, Jingjing Zhang, Osvaldo Simeone:
Coded Computing and Cooperative Transmission for Wireless Distributed Matrix Multiplication. IEEE Trans. Commun. 69(4): 2224-2239 (2021) - [j160]Roy Karasik, Osvaldo Simeone, Marco Di Renzo, Shlomo Shamai Shitz:
Adaptive Coding and Channel Shaping Through Reconfigurable Intelligent Surfaces: An Information-Theoretic Analysis. IEEE Trans. Commun. 69(11): 7320-7334 (2021) - [j159]Jingjing Zhang, Osvaldo Simeone:
LAGC: Lazily Aggregated Gradient Coding for Straggler-Tolerant and Communication-Efficient Distributed Learning. IEEE Trans. Neural Networks Learn. Syst. 32(3): 962-974 (2021) - [j158]Seok-Hwan Park, Seongah Jeong, Jinyeop Na, Osvaldo Simeone, Shlomo Shamai:
Collaborative Cloud and Edge Mobile Computing in C-RAN Systems With Minimal End-to-End Latency. IEEE Trans. Signal Inf. Process. over Networks 7: 259-274 (2021) - [j157]Sangwoo Park, Hyeryung Jang, Osvaldo Simeone, Joonhyuk Kang:
Learning to Demodulate From Few Pilots via Offline and Online Meta-Learning. IEEE Trans. Signal Process. 69: 226-239 (2021) - [j156]Anders E. Kalør, Osvaldo Simeone, Petar Popovski:
Prediction of mmWave/THz Link Blockages Through Meta-Learning and Recurrent Neural Networks. IEEE Wirel. Commun. Lett. 10(12): 2815-2819 (2021) - [c188]Wei Jiang, Alexander M. Haimovich, Mark A. Govoni, Timothy Garner, Osvaldo Simeone:
Fast Data-Driven Adaptation of Radar Detection via Meta-Learning. ACSCC 2021: 1618-1622 - [c187]Sharu Theresa Jose, Osvaldo Simeone:
Information-Theoretic Bounds on Transfer Generalization Gap Based on Jensen-Shannon Divergence. EUSIPCO 2021: 1461-1465 - [c186]Hyeryung Jang, Osvaldo Simeone:
Multi-Sample Online Learning for Spiking Neural Networks Based on Generalized Expectation Maximization. ICASSP 2021: 4080-4084 - [c185]Roberto Gonçalves Pacheco, Rodrigo S. Couto, Osvaldo Simeone:
Calibration-Aided Edge Inference Offloading via Adaptive Model Partitioning of Deep Neural Networks. ICC 2021: 1-6 - [c184]Tomer Raviv, Sangwoo Park, Nir Shlezinger, Osvaldo Simeone, Yonina C. Eldar, Joonhyuk Kang:
Meta-ViterbiNet: Online Meta-Learned Viterbi Equalization for Non-Stationary Channels. ICC Workshops 2021: 1-6 - [c183]Arezou Rezazadeh, Sharu Theresa Jose, Giuseppe Durisi, Osvaldo Simeone:
Conditional Mutual Information-Based Generalization Bound for Meta Learning. ISIT 2021: 1176-1181 - [c182]Sharu Theresa Jose, Osvaldo Simeone:
An Information-Theoretic Analysis of the Impact of Task Similarity on Meta-Learning. ISIT 2021: 1534-1539 - [c181]Roy Karasik, Osvaldo Simeone, Marco Di Renzo, Shlomo Shamai:
Single-RF Multi-User Communication Through Reconfigurable Intelligent Surfaces: An Information-Theoretic Analysis. ISIT 2021: 2352-2357 - [c180]Sharu Theresa Jose, Osvaldo Simeone:
A Unified PAC-Bayesian Framework for Machine Unlearning via Information Risk Minimization. MLSP 2021: 1-6 - [c179]Yunchuan Zhang, Sharu Theresa Jose, Osvaldo Simeone:
Transfer Bayesian Meta-Learning Via Weighted Free Energy Minimization. MLSP 2021: 1-6 - [c178]Nicolas Skatchkovsky, Osvaldo Simeone, Hyeryung Jang:
Learning to Time-Decode in Spiking Neural Networks Through the Information Bottleneck. NeurIPS 2021: 17049-17059 - [c177]Yusha Liu, Osvaldo Simeone:
HyperRNN: Deep Learning-Aided Downlink CSI Acquisition via Partial Channel Reciprocity for FDD Massive MIMO. SPAWC 2021: 31-35 - [c176]Ivana Nikoloska, Osvaldo Simeone:
Fast Power Control Adaptation via Meta-Learning for Random Edge Graph Neural Networks. SPAWC 2021: 146-150 - [c175]Jinu Gong, Osvaldo Simeone, Joonhyuk Kang:
Bayesian Variational Federated Learning and Unlearning in Decentralized Networks. SPAWC 2021: 216-220 - [c174]Kfir M. Cohen, Sangwoo Park, Osvaldo Simeone, Shlomo Shamai:
Learning to Learn to Demodulate with Uncertainty Quantification via Bayesian Meta-Learning. WSA 2021: 1-6 - [i211]Roy Karasik, Osvaldo Simeone, Marco Di Renzo, Shlomo Shamai:
Single-RF Multi-User Communication Through Reconfigurable Intelligent Surfaces: An Information-Theoretic Analysis. CoRR abs/2101.07556 (2021) - [i210]Sharu Theresa Jose, Osvaldo Simeone:
An Information-Theoretic Analysis of the Impact of Task Similarity on Meta-Learning. CoRR abs/2101.08390 (2021) - [i209]Johannes Dommel, Zoran Utkovski, Osvaldo Simeone, Slawomir Stanczak:
Joint Source-Channel Coding for Semantics-Aware Grant-Free Radio Access in IoT Fog Networks. CoRR abs/2101.11309 (2021) - [i208]Hong Xing, Osvaldo Simeone, Suzhi Bi:
Federated Learning over Wireless Device-to-Device Networks: Algorithms and Convergence Analysis. CoRR abs/2101.12704 (2021) - [i207]Hyeryung Jang, Osvaldo Simeone:
Multi-Sample Online Learning for Spiking Neural Networks based on Generalized Expectation Maximization. CoRR abs/2102.03280 (2021) - [i206]Dongzhu Liu, Osvaldo Simeone:
Channel-Driven Monte Carlo Sampling for Bayesian Distributed Learning in Wireless Data Centers. CoRR abs/2103.01351 (2021) - [i205]Bleema Rosenfeld, Bipin Rajendran, Osvaldo Simeone:
Fast On-Device Adaptation for Spiking Neural Networks via Online-Within-Online Meta-Learning. CoRR abs/2103.03901 (2021) - [i204]Tomer Raviv, Sangwoo Park, Nir Shlezinger, Osvaldo Simeone, Yonina C. Eldar, Joonhyuk Kang:
Meta-ViterbiNet: Online Meta-Learned Viterbi Equalization for Non-Stationary Channels. CoRR abs/2103.13483 (2021) - [i203]Seok-Hwan Park, Seongah Jeong, Jinyeop Na, Osvaldo Simeone, Shlomo Shamai:
Collaborative Cloud and Edge Mobile Computing in C-RAN Systems with Minimal End-to-End Latency. CoRR abs/2103.16188 (2021) - [i202]Jinu Gong, Osvaldo Simeone, Joonhyuk Kang:
Bayesian Variational Federated Learning and Unlearning in Decentralized Networks. CoRR abs/2104.03834 (2021) - [i201]Yusha Liu, Osvaldo Simeone:
HyperRNN: Deep Learning-Aided Downlink CSI Acquisition via Partial Channel Reciprocity for FDD Massive MIMO. CoRR abs/2104.12274 (2021) - [i200]