Leandros Tassiulas

ORCID

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 197

Top Venues

CoRR

INFOCOM

ICC

IEEE/ACM Trans. Netw.

Publications

Jialin Chen, Jan Eric Lenssen, Aosong Feng, Weihua Hu, Matthias Fey, Leandros Tassiulas, Jure Leskovec, Rex Ying
From Similarity to Superiority: Channel Clustering for Time Series Forecasting. CoRR (2024)
Bing Luo, Wenli Xiao, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas
Adaptive Heterogeneous Client Sampling for Federated Learning over Wireless Networks. CoRR (2024)
Yagmur Yigit, Ioannis Panitsas, Leandros Maglaras, Leandros Tassiulas, Berk Canberk
Cyber-Twin: Digital Twin-boosted Autonomous Attack Detection for Vehicular Ad-Hoc Networks. CoRR (2024)
Aosong Feng, Weikang Qiu, Jinbin Bai, Kaicheng Zhou, Zhen Dong, Xiao Zhang, Rex Ying, Leandros Tassiulas
An Item is Worth a Prompt: Versatile Image Editing with Disentangled Control. CoRR (2024)
Haoyue Tang, Yin Sun, Leandros Tassiulas
Sampling of the Wiener Process for Remote Estimation Over a Channel With Unknown Delay Statistics. IEEE/ACM Trans. Netw. 32 (3) (2024)
Panagiotis Promponas, Akrit Mudvari, Luca Della Chiesa, Paul Polakos, Louis G. Samuel, Leandros Tassiulas
Compiler for Distributed Quantum Computing: a Reinforcement Learning Approach. CoRR (2024)
Georgios Palaiokrassas, Sarah Bouraga, Leandros Tassiulas
Machine Learning on Blockchain Data: A Systematic Mapping Study. CoRR (2024)
Ioannis Panitsas, Akrit Mudvari, Ali Maatouk, Leandros Tassiulas
Predictive Handover Strategy in 6G and Beyond: A Deep and Transfer Learning Approach. CoRR (2024)
Aosong Feng, Jialin Chen, Juan Garza, Brooklyn Berry, Francisco Salazar, Yifeng Gao, Rex Ying, Leandros Tassiulas
Efficient High-Resolution Time Series Classification via Attention Kronecker Decomposition. CoRR (2024)
Panagiotis Promponas, Víctor Valls, Saikat Guha, Leandros Tassiulas
Maximizing Entanglement Rates via Efficient Memory Management in Flexible Quantum Switches. IEEE J. Sel. Areas Commun. 42 (7) (2024)
Ioannis Panitsas, Akrit Mudvari, Leandros Tassiulas
Constrained Reinforcement Learning for Adaptive Controller Synchronization in Distributed SDN. CoRR (2024)
Akrit Mudvari, Leandros Tassiulas
Joint SDN Synchronization and Controller Placement in Wireless Networks using Deep Reinforcement Learning. NOMS (2024)
Akrit Mudvari, Konstantinos Poularakis, Leandros Tassiulas
Robust SDN Synchronization in Mobile Networks Using Deep Reinforcement and Transfer Learning. ICC (2023)
Jinheng Zhang, Haoyue Tang, Jintao Wang, Sastry Kompella, Leandros Tassiulas
Age Optimum Sampling in Non-Stationary Environment. CoRR (2023)
Changgang Zheng, Haoyue Tang, Mingyuan Zang, Xinpeng Hong, Aosong Feng, Leandros Tassiulas, Noa Zilberman
DINC: Toward Distributed In-Network Computing. PACMNET 1 (CoNEXT3) (2023)
Yuchao Chen, Haoyue Tang, Jintao Wang, Pengkun Yang, Leandros Tassiulas
Sampling for Remote Estimation of an Ornstein-Uhlenbeck Process through Channel with Unknown Delay Statistics. CoRR (2023)
Panagiotis Promponas, Tingjun Chen, Leandros Tassiulas
Optimizing Sectorized Wireless Networks: Model, Analysis, and Algorithm. CoRR (2023)
Bing Luo, Yutong Feng, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas
Incentive Mechanism Design for Unbiased Federated Learning with Randomized Client Participation. ICDCS (2023)
Panagiotis Promponas, Tingjun Chen, Leandros Tassiulas
Optimizing Sectorized Wireless Networks: Model, Analysis, and Algorithm. MobiHoc (2023)
Georgios Palaiokrassas, Sandro Scherrers, Iason Ofeidis, Leandros Tassiulas
Leveraging Machine Learning for Multichain DeFi Fraud Detection. CoRR (2023)
Yuchao Chen, Haoyue Tang, Jintao Wang, Pengkun Yang, Leandros Tassiulas
Sampling for remote estimation of an Ornstein-Uhlenbeck process through channel with unknown delay statistics. J. Commun. Networks 25 (5) (2023)
Christos Liaskos, Konstantinos Alexandris, Anindya Das, Siyu Tang, Leandros Tassiulas
Analysis and Evaluation of Fully TCP-Compatible Backpressure-Driven Traffic Engineering. IEEE Trans. Netw. Sci. Eng. 10 (6) (2023)
Seyed Mohammad Azimi-Abarghouyi, Harpreet S. Dhillon, Leandros Tassiulas
Interference-Aware Molecular Detector Design for Clustered Bio-Nanonetworks. ICC (2023)
Panagiotis Promponas, Víctor Valls, Leandros Tassiulas
Quantum Switch Scheduling for Information Qubits. SIGMETRICS Perform. Evaluation Rev. 51 (2) (2023)
Zheyu Chen, Kin K. Leung, Shiqiang Wang, Leandros Tassiulas, Kevin S. Chan, Patrick J. Baker
Learning Technique to Solve Periodic Markov Decision Process for Network Resource Allocation. MILCOM (2023)
Akrit Mudvari, Antero Vainio, Iason Ofeidis, Sasu Tarkoma, Leandros Tassiulas
Deep Learning Architecture for Network-Efficiency at the Edge. CoRR (2023)
Seyed Mohammad Azimi-Abarghouyi, Harpreet S. Dhillon, Leandros Tassiulas
Fundamentals of Clustered Molecular Nanonetworks. IEEE Trans. Mol. Biol. Multi Scale Commun. 9 (2) (2023)
S. Travis Waller, Amalia Polydoropoulou, Leandros Tassiulas, Athanasios K. Ziliaskopoulos, Sisi Jian, Susann Wagenknecht, Georg Hirte, Tomasz Bednarz
Mobility as a Resource (MaaR) for resilient human-centric automation: a vision paper. CoRR (2023)
Panagiotis Promponas, Víctor Valls, Leandros Tassiulas
Full Exploitation of Limited Memory in Quantum Entanglement Switching. IFIP Networking (2023)
Panagiotis Promponas, Víctor Valls, Leandros Tassiulas
Full Exploitation of Limited Memory in Quantum Entanglement Switching. CoRR (2023)
Nitish K. Panigrahy, Thirupathaiah Vasantam, Don Towsley, Leandros Tassiulas
On the Capacity Region of a Quantum Switch with Entanglement Purification. INFOCOM (2023)
Zheyu Chen, Kin K. Leung, Shiqiang Wang, Leandros Tassiulas, Kevin S. Chan, Patrick J. Baker
Reinforcement Learning for Resource Allocation with Periodic Traffic Patterns. ICC Workshops (2023)
Haoyue Tang, Yuchao Chen, Jintao Wang, Pengkun Yang, Leandros Tassiulas
Age Optimal Sampling Under Unknown Delay Statistics. IEEE Trans. Inf. Theory 69 (2) (2023)
David Elkouss, John C. S. Lui, Leandros Tassiulas
The First Workshop on Quantum Systems and Computations (2023). SIGMETRICS Perform. Evaluation Rev. 51 (2) (2023)
Víctor Valls, Panagiotis Promponas, Leandros Tassiulas
On the Capacity of the Quantum Switch With and Without Entanglement Decoherence. IEEE Commun. Lett. 27 (9) (2023)
Akrit Mudvari, Leandros Tassiulas
Joint SDN Synchronization and Controller Placement in Wireless Networks using Deep Reinforcement Learning. CoRR (2023)
Nikolaos Papadis, Leandros Tassiulas
Deep Reinforcement Learning-Based Rebalancing Policies for Profit Maximization of Relay Nodes in Payment Channel Networks. MARBLE (2023)
Hongyi He, Haoyue Tang, Jiayu Pan, Jintao Wang, Jian Song, Leandros Tassiulas
Age Optimal Sampling for Unreliable Channels Under Unknown Channel Statistics. WiOpt (2023)
Zheyu Chen, Kin K. Leung, Shiqiang Wang, Leandros Tassiulas, Kevin S. Chan, Don Towsley
Use Coupled LSTM Networks to Solve Constrained Optimization Problems. IEEE Trans. Cogn. Commun. Netw. 9 (2) (2023)
Nitish K. Panigrahy, Matheus Guedes de Andrade, Shahrooz Pouryousef, Don Towsley, Leandros Tassiulas
Scalable Multipartite Entanglement Distribution in Quantum Networks. QCE (2023)
Panagiotis Promponas, Leandros Tassiulas
Network Slicing: Market Mechanism and Competitive Equilibria. CoRR (2023)
Bing Luo, Yutong Feng, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas
Incentive Mechanism Design for Unbiased Federated Learning with Randomized Client Participation. CoRR (2023)
Antero Vainio, Akrit Mudvari, Diego Kiedanski, Sasu Tarkoma, Leandros Tassiulas
Fog Computing for Deep Learning with Pipelines. ICFEC (2023)
Yuang Jiang, Shiqiang Wang, Víctor Valls, Bong Jun Ko, Wei-Han Lee, Kin K. Leung, Leandros Tassiulas
Model Pruning Enables Efficient Federated Learning on Edge Devices. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Panagiotis Promponas, Leandros Tassiulas
Network Slicing: Market Mechanism and Competitive Equilibria. INFOCOM (2023)
Haoyue Tang, Yin Sun, Leandros Tassiulas
Sampling of the wiener process for remote estimation over a channel with unknown delay statistics. MobiHoc (2022)
Bing Luo, Wenli Xiao, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas
Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling. INFOCOM (2022)
Yuang Jiang, Konstantinos Poularakis, Diego Kiedanski, Sastry Kompella, Leandros Tassiulas
Robust and Resource-efficient Machine Learning Aided Viewport Prediction in Virtual Reality. Big Data (2022)
Nithish Velagala, Leandros A. Maglaras, Nick Ayres, Sotiris Moschoyiannis, Leandros Tassiulas
Enhancing Privacy of Online Chat Apps Utilising Secure Node End-to-End Encryption (SNE2EE). ISCC (2022)
Nitish K. Panigrahy, Prajit Dhara, Don Towsley, Saikat Guha, Leandros Tassiulas
Optimal Entanglement Distribution using Satellite Based Quantum Networks. CoRR (2022)
Michael Darlin, Georgios Palaiokrassas, Leandros Tassiulas
Debt-Financed Collateral and Stability Risks in the DeFi Ecosystem. BRAINS (2022)
Yuang Jiang, Konstantinos Poularakis, Diego Kiedanski, Sastry Kompella, Leandros Tassiulas
Robust and Resource-efficient Machine Learning Aided Viewport Prediction in Virtual Reality. CoRR (2022)
Leandros A. Maglaras, Nick Ayres, Sotiris Moschoyiannis, Leandros Tassiulas
The end of Eavesdropping Attacks through the Use of Advanced End to End Encryption Mechanisms. INFOCOM Workshops (2022)
Nikolaos Papadis, Leandros Tassiulas
Deep Reinforcement Learning-based Rebalancing Policies for Profit Maximization of Relay Nodes in Payment Channel Networks. IACR Cryptol. ePrint Arch. 2022 (2022)
Aosong Feng, Chenyu You, Shiqiang Wang, Leandros Tassiulas
KerGNNs: Interpretable Graph Neural Networks with Graph Kernels. AAAI (2022)
Nitish K. Panigrahy, Thirupathaiah Vasantam, Don Towsley, Leandros Tassiulas
On the Capacity Region of a Quantum Switch with Entanglement Purification. CoRR (2022)
Haoyue Tang, Yuchao Chen, Jintao Wang, Pengkun Yang, Leandros Tassiulas
Age Optimal Sampling Under Unknown Delay Statistics. CoRR (2022)
Leandros A. Maglaras, Mohamed Amine Ferrag, Helge Janicke, Nick Ayres, Leandros Tassiulas
Reliability, Security, and Privacy in Power Grids. Computer 55 (9) (2022)
Seyed Mohammad Azimi-Abarghouyi, Harpreet S. Dhillon, Leandros Tassiulas
Fundamentals of Clustered Molecular Nanonetworks. CoRR (2022)
Nikolaos Papadis, Leandros Tassiulas
Payment Channel Networks: Single-Hop Scheduling for Throughput Maximization. INFOCOM (2022)
Jordi Ros-Giralt, Noah Amsel, Sruthi Yellamraju, James R. Ezick, Richard Lethin, Yuang Jiang, Aosong Feng, Leandros Tassiulas
A Quantitative Theory of Bottleneck Structures for Data Networks. CoRR (2022)
Nikolaos Papadis, Leandros Tassiulas
Deep Reinforcement Learning-based Rebalancing Policies for Profit Maximization of Relay Nodes in Payment Channel Networks. CoRR (2022)
Iason Ofeidis, Diego Kiedanski, Leandros Tassiulas
An Overview of the Data-Loader Landscape: Comparative Performance Analysis. CoRR (2022)
Akrit Mudvari, Nikos Makris, Leandros Tassiulas
Exploring ML methods for Dynamic Scaling of beyond 5G Cloud-Native RANs. ICC (2022)
Aosong Feng, Chenyu You, Shiqiang Wang, Leandros Tassiulas
KerGNNs: Interpretable Graph Neural Networks with Graph Kernels. CoRR (2022)
Nitish K. Panigrahy, Prajit Dhara, Don Towsley, Saikat Guha, Leandros Tassiulas
Optimal Entanglement Distribution using Satellite Based Quantum Networks. INFOCOM Workshops (2022)
Haoyue Tang, Yin Sun, Leandros Tassiulas
Sampling of the Wiener Process for Remote Estimation over a Channel with Unknown Delay Statistics. CoRR (2022)
Aosong Feng, Leandros Tassiulas
Adaptive Graph Spatial-Temporal Transformer Network for Traffic Forecasting. CIKM (2022)
Aosong Feng, Leandros Tassiulas
Adaptive Graph Spatial-Temporal Transformer Network for Traffic Flow Forecasting. CoRR (2022)
Jordi Ros-Giralt, Noah Amsel, Sruthi Yellamraju, James R. Ezick, Richard Lethin, Yuang Jiang, Aosong Feng, Leandros Tassiulas, Zhenguo Wu, Min Yee Teh, Keren Bergman
Designing data center networks using bottleneck structures. SIGCOMM (2021)
Yuang Jiang, Murali S. Kodialam, T. V. Lakshman, Sarit Mukherjee, Leandros Tassiulas
Resource Allocation in Data Centers Using Fast Reinforcement Learning Algorithms. IEEE Trans. Netw. Serv. Manag. 18 (4) (2021)
Akrit Mudvari, Nikos Makris, Leandros Tassiulas
ML-driven scaling of 5G Cloud-Native RANs. GLOBECOM (2021)
Víctor Valls, George Iosifidis, Leandros Tassiulas
Birkhoff's Decomposition Revisited: Sparse Scheduling for High-Speed Circuit Switches. IEEE/ACM Trans. Netw. 29 (6) (2021)
Bing Luo, Xiang Li, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas
Cost-Effective Federated Learning in Mobile Edge Networks. CoRR (2021)
Yeshwanth Venkatesha, Youngeun Kim, Leandros Tassiulas, Priyadarshini Panda
Federated Learning With Spiking Neural Networks. IEEE Trans. Signal Process. 69 (2021)
Bing Luo, Xiang Li, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas
Cost-Effective Federated Learning Design. INFOCOM (2021)
Bing Luo, Xiang Li, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas
Cost-Effective Federated Learning in Mobile Edge Networks. IEEE J. Sel. Areas Commun. 39 (12) (2021)
Zheyu Chen, Kin K. Leung, Shiqiang Wang, Leandros Tassiulas, Kevin Chan
Robust Solutions to Constrained Optimization Problems by LSTM Networks. MILCOM (2021)
Yeshwanth Venkatesha, Youngeun Kim, Leandros Tassiulas, Priyadarshini Panda
Federated Learning with Spiking Neural Networks. CoRR (2021)
Nikolaos Papadis, Leandros Tassiulas
State-Dependent Processing in Payment Channel Networks for Throughput Optimization. CoRR (2021)
Konstantinos Poularakis, Qiaofeng Qin, Franck Le, Sastry Kompella, Leandros Tassiulas
Generalizable and Interpretable Deep Learning for Network Congestion Prediction. ICNP (2021)
Leandros Tassiulas
Enabling Intelligent Services at the Network Edge. SIGMETRICS (Abstracts) (2021)
Nicholas Nordlund, Vassilis Vassiliadis, Michele Gazzetti, Dimitris Syrivelis, Leandros Tassiulas
Energy-Aware Learning Agent (EALA) for Disaggregated Cloud Scheduling. CLOUD (2021)
Bing Luo, Wenli Xiao, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas
Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling. CoRR (2021)
Jordi Ros-Giralt, Atul Bohara, Sruthi Yellamraju, Harper Langston, Richard Lethin, Yuang Jiang, Leandros Tassiulas, Josie Li, Yuanlong Tan, Malathi Veeraraghavan
On the Bottleneck Structure of Congestion-Controlled Networks. SIGMETRICS (Abstracts) (2020)
Leonidas Georgiadis, George Iosifidis, Leandros Tassiulas
On the Efficiency of Sharing Economy Networks. IEEE Trans. Netw. Sci. Eng. 7 (3) (2020)
Apostolos Apostolaras, Kostas Chounos, Leandros Tassiulas, Thanasis Korakis
Servicing Inelasticity, Leasing Resources and Pricing in 5G Networks. WiOpt (2020)
Harris Niavis, Nikolaos Papadis, Venu Reddy, Hanumantha Rao, Leandros Tassiulas
A Blockchain-based Decentralized Data Sharing Infrastructure for Off-grid Networking. IEEE ICBC (2020)
Qiaofeng Qin, Leandros Tassiulas
Auction-based Network Slicing Architecture and Experimentation on SD-RANs. OpenWireless@MobiSys (2020)
Harris Niavis, Nikolaos Papadis, Leandros Tassiulas
A Blockchain-based Decentralized Data Sharing Infrastructure for Off-grid Networking. CoRR (2020)
Konstantinos Poularakis, Jaime Llorca, Antonia Maria Tulino, Ian J. Taylor, Leandros Tassiulas
Service Placement and Request Routing in MEC Networks With Storage, Computation, and Communication Constraints. IEEE/ACM Trans. Netw. 28 (3) (2020)
Víctor Valls, George Iosifidis, Leandros Tassiulas
Birkhoff's Decomposition Revisited: Sparse Scheduling for High-Speed Circuit Switches. CoRR (2020)
Qiaofeng Qin, Konstantinos Poularakis, Leandros Tassiulas
A Learning Approach with Programmable Data Plane towards IoT Security. ICDCS (2020)
Konstantinos Poularakis, Jaime Llorca, Antonia Maria Tulino, Leandros Tassiulas
Approximation algorithms for data-intensive service chain embedding. MobiHoc (2020)
Bing Luo, Xiang Li, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas
Cost-Effective Federated Learning Design. CoRR (2020)
Donatos Stavropoulos, Vasileios Miliotis, Thanasis Korakis, Leandros Tassiulas
On the Implementation of Matching Theory Based Resource Allocation in Networking Testbeds. NOMS (2020)
Qiaofeng Qin, Nakjung Choi, Muntasir Raihan Rahman, Marina Thottan, Leandros Tassiulas
Network Slicing in Heterogeneous Software-defined RANs. INFOCOM (2020)
Víctor Valls, George Iosifidis, Geeth de Mel, Leandros Tassiulas
Online Network Flow Optimization for Multi-Grade Service Chains. INFOCOM (2020)
Victor Valls, George Iosifidis, Douglas J. Leith, Leandros Tassiulas
Online Convex Optimization with Perturbed Constraints: Optimal Rates against Stronger Benchmarks. AISTATS (2020)
Donatos Stavropoulos, Vasileios Miliotis, Thanasis Korakis, Leandros Tassiulas
Matching Theory Application for Efficient Allocation of Indivisible Testbed Resources. NOMS (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Leandros Tassiulas