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- affiliation: Yale University
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2020 – today
- 2024
[j188]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): 1749-1762 (2024)- [j187]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): 1920-1935 (2024) - [c320]Yagmur Yigit, Ioannis Panitsas, Leandros Maglaras, Leandros Tassiulas, Berk Canberk:
Cyber-Twin: Digital Twin-Boosted Autonomous Attack Detection for Vehicular Ad-Hoc Networks. ICC 2024: 2167-2172 - [c319]Akrit Mudvari, Leandros Tassiulas:
Joint SDN Synchronization and Controller Placement in Wireless Networks using Deep Reinforcement Learning. NOMS 2024: 1-9 - [i68]Yagmur Yigit, Ioannis Panitsas, Leandros Maglaras, Leandros Tassiulas, Berk Canberk:
Cyber-Twin: Digital Twin-boosted Autonomous Attack Detection for Vehicular Ad-Hoc Networks. CoRR abs/2401.14005 (2024) - [i67]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 abs/2403.04880 (2024) - [i66]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 abs/2403.04882 (2024) - [i65]Ioannis Panitsas, Akrit Mudvari, Leandros Tassiulas:
Constrained Reinforcement Learning for Adaptive Controller Synchronization in Distributed SDN. CoRR abs/2403.08775 (2024) - [i64]Georgios Palaiokrassas, Sarah Bouraga, Leandros Tassiulas:
Machine Learning on Blockchain Data: A Systematic Mapping Study. CoRR abs/2403.17081 (2024) - [i63]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 abs/2404.01340 (2024) - [i62]Ioannis Panitsas, Akrit Mudvari, Ali Maatouk, Leandros Tassiulas:
Predictive Handover Strategy in 6G and Beyond: A Deep and Transfer Learning Approach. CoRR abs/2404.08113 (2024) - [i61]Bing Luo, Wenli Xiao, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas:
Adaptive Heterogeneous Client Sampling for Federated Learning over Wireless Networks. CoRR abs/2404.13804 (2024) - [i60]Panagiotis Promponas, Akrit Mudvari, Luca Della Chiesa, Paul Polakos, Louis G. Samuel, Leandros Tassiulas:
Compiler for Distributed Quantum Computing: a Reinforcement Learning Approach. CoRR abs/2404.17077 (2024) - 2023
- [j186]Víctor Valls, Panagiotis Promponas, Leandros Tassiulas:
On the Capacity of the Quantum Switch With and Without Entanglement Decoherence. IEEE Commun. Lett. 27(9): 2388-2392 (2023) - [j185]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): 670-687 (2023) - [j184]Changgang Zheng, Haoyue Tang, Mingyuan Zang, Xinpeng Hong, Aosong Feng, Leandros Tassiulas, Noa Zilberman:
DINC: Toward Distributed In-Network Computing. PACMNET 1(CoNEXT3): 14:1-14:25 (2023) - [j183]David Elkouss, John C. S. Lui, Leandros Tassiulas:
The First Workshop on Quantum Systems and Computations (2023). SIGMETRICS Perform. Evaluation Rev. 51(2): 65 (2023) - [j182]Panagiotis Promponas, Víctor Valls, Leandros Tassiulas:
Quantum Switch Scheduling for Information Qubits. SIGMETRICS Perform. Evaluation Rev. 51(2): 78-80 (2023) - [j181]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): 304-316 (2023) - [j180]Haoyue Tang, Yuchao Chen, Jintao Wang, Pengkun Yang, Leandros Tassiulas:
Age Optimal Sampling Under Unknown Delay Statistics. IEEE Trans. Inf. Theory 69(2): 1295-1314 (2023) - [j179]Seyed Mohammad Azimi-Abarghouyi, Harpreet S. Dhillon, Leandros Tassiulas:
Fundamentals of Clustered Molecular Nanonetworks. IEEE Trans. Mol. Biol. Multi Scale Commun. 9(2): 135-145 (2023) - [j178]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): 10374-10386 (2023) - [j177]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): 4056-4070 (2023) - [c318]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: 752-757 - [c317]Akrit Mudvari, Konstantinos Poularakis, Leandros Tassiulas:
Robust SDN Synchronization in Mobile Networks Using Deep Reinforcement and Transfer Learning. ICC 2023: 1080-1085 - [c316]Seyed Mohammad Azimi-Abarghouyi, Harpreet S. Dhillon, Leandros Tassiulas:
Interference-Aware Molecular Detector Design for Clustered Bio-Nanonetworks. ICC 2023: 6084-6089 - [c315]Bing Luo, Yutong Feng, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas:
Incentive Mechanism Design for Unbiased Federated Learning with Randomized Client Participation. ICDCS 2023: 545-555 - [c314]Antero Vainio, Akrit Mudvari, Diego Kiedanski, Sasu Tarkoma, Leandros Tassiulas:
Fog Computing for Deep Learning with Pipelines. ICFEC 2023: 64-72 - [c313]Nitish K. Panigrahy, Thirupathaiah Vasantam, Don Towsley, Leandros Tassiulas:
On the Capacity Region of a Quantum Switch with Entanglement Purification. INFOCOM 2023: 1-10 - [c312]Panagiotis Promponas, Leandros Tassiulas:
Network Slicing: Market Mechanism and Competitive Equilibria. INFOCOM 2023: 1-10 - [c311]Nikolaos Papadis, Leandros Tassiulas:
Deep Reinforcement Learning-Based Rebalancing Policies for Profit Maximization of Relay Nodes in Payment Channel Networks. MARBLE 2023: 1-27 - [c310]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: 464-470 - [c309]Panagiotis Promponas, Tingjun Chen, Leandros Tassiulas:
Optimizing Sectorized Wireless Networks: Model, Analysis, and Algorithm. MobiHoc 2023: 141-150 - [c308]Panagiotis Promponas, Víctor Valls, Leandros Tassiulas:
Full Exploitation of Limited Memory in Quantum Entanglement Switching. IFIP Networking 2023: 1-9 - [c307]Nitish K. Panigrahy, Matheus Guedes de Andrade, Shahrooz Pouryousef, Don Towsley, Leandros Tassiulas:
Scalable Multipartite Entanglement Distribution in Quantum Networks. QCE 2023: 391-392 - [c306]Hongyi He, Haoyue Tang, Jiayu Pan, Jintao Wang, Jian Song, Leandros Tassiulas:
Age Optimal Sampling for Unreliable Channels Under Unknown Channel Statistics. WiOpt 2023: 651-656 - [i59]Panagiotis Promponas, Leandros Tassiulas:
Network Slicing: Market Mechanism and Competitive Equilibria. CoRR abs/2301.02840 (2023) - [i58]Bing Luo, Yutong Feng, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas:
Incentive Mechanism Design for Unbiased Federated Learning with Randomized Client Participation. CoRR abs/2304.07981 (2023) - [i57]Panagiotis Promponas, Víctor Valls, Leandros Tassiulas:
Full Exploitation of Limited Memory in Quantum Entanglement Switching. CoRR abs/2304.10602 (2023) - [i56]Georgios Palaiokrassas, Sandro Scherrers, Iason Ofeidis, Leandros Tassiulas:
Leveraging Machine Learning for Multichain DeFi Fraud Detection. CoRR abs/2306.07972 (2023) - [i55]Panagiotis Promponas, Tingjun Chen, Leandros Tassiulas:
Optimizing Sectorized Wireless Networks: Model, Analysis, and Algorithm. CoRR abs/2308.10970 (2023) - [i54]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 abs/2308.15401 (2023) - [i53]Jinheng Zhang, Haoyue Tang, Jintao Wang, Sastry Kompella, Leandros Tassiulas:
Age Optimum Sampling in Non-Stationary Environment. CoRR abs/2310.20275 (2023) - [i52]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 abs/2311.02786 (2023) - [i51]Akrit Mudvari, Leandros Tassiulas:
Joint SDN Synchronization and Controller Placement in Wireless Networks using Deep Reinforcement Learning. CoRR abs/2311.05582 (2023) - [i50]Akrit Mudvari, Antero Vainio, Iason Ofeidis, Sasu Tarkoma, Leandros Tassiulas:
Deep Learning Architecture for Network-Efficiency at the Edge. CoRR abs/2311.05739 (2023) - 2022
- [j176]Leandros A. Maglaras, Mohamed Amine Ferrag, Helge Janicke, Nick Ayres, Leandros Tassiulas:
Reliability, Security, and Privacy in Power Grids. Computer 55(9): 85-88 (2022) - [c305]Aosong Feng, Chenyu You, Shiqiang Wang, Leandros Tassiulas:
KerGNNs: Interpretable Graph Neural Networks with Graph Kernels. AAAI 2022: 6614-6622 - [c304]Yuang Jiang, Konstantinos Poularakis, Diego Kiedanski, Sastry Kompella, Leandros Tassiulas:
Robust and Resource-efficient Machine Learning Aided Viewport Prediction in Virtual Reality. IEEE Big Data 2022: 1002-1013 - [c303]Michael Darlin, Georgios Palaiokrassas, Leandros Tassiulas:
Debt-Financed Collateral and Stability Risks in the DeFi Ecosystem. BRAINS 2022: 5-12 - [c302]Aosong Feng, Leandros Tassiulas:
Adaptive Graph Spatial-Temporal Transformer Network for Traffic Forecasting. CIKM 2022: 3933-3937 - [c301]Akrit Mudvari, Nikos Makris, Leandros Tassiulas:
Exploring ML methods for Dynamic Scaling of beyond 5G Cloud-Native RANs. ICC 2022: 2284-2289 - [c300]Leandros 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: 1-2 - [c299]Nitish K. Panigrahy, Prajit Dhara, Don Towsley, Saikat Guha, Leandros Tassiulas:
Optimal Entanglement Distribution using Satellite Based Quantum Networks. INFOCOM Workshops 2022: 1-6 - [c298]Nikolaos Papadis, Leandros Tassiulas:
Payment Channel Networks: Single-Hop Scheduling for Throughput Maximization. INFOCOM 2022: 900-909 - [c297]Bing Luo, Wenli Xiao, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas:
Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling. INFOCOM 2022: 1739-1748 - [c296]Nithish Velagala, Leandros Maglaras, Nick Ayres, Sotiris Moschoyiannis, Leandros Tassiulas:
Enhancing Privacy of Online Chat Apps Utilising Secure Node End-to-End Encryption (SNE2EE). ISCC 2022: 1-3 - [c295]Haoyue Tang, Yin Sun, Leandros Tassiulas:
Sampling of the wiener process for remote estimation over a channel with unknown delay statistics. MobiHoc 2022: 51-60 - [i49]Aosong Feng, Chenyu You, Shiqiang Wang, Leandros Tassiulas:
KerGNNs: Interpretable Graph Neural Networks with Graph Kernels. CoRR abs/2201.00491 (2022) - [i48]Haoyue Tang, Yuchao Chen, Jintao Wang, Pengkun Yang, Leandros Tassiulas:
Age Optimal Sampling Under Unknown Delay Statistics. CoRR abs/2202.13367 (2022) - [i47]Nitish K. Panigrahy, Prajit Dhara, Don Towsley, Saikat Guha, Leandros Tassiulas:
Optimal Entanglement Distribution using Satellite Based Quantum Networks. CoRR abs/2205.12354 (2022) - [i46]Aosong Feng, Leandros Tassiulas:
Adaptive Graph Spatial-Temporal Transformer Network for Traffic Flow Forecasting. CoRR abs/2207.05064 (2022) - [i45]Haoyue Tang, Yin Sun, Leandros Tassiulas:
Sampling of the Wiener Process for Remote Estimation over a Channel with Unknown Delay Statistics. CoRR abs/2207.08020 (2022) - [i44]Seyed Mohammad Azimi-Abarghouyi, Harpreet S. Dhillon, Leandros Tassiulas:
Fundamentals of Clustered Molecular Nanonetworks. CoRR abs/2208.14213 (2022) - [i43]Iason Ofeidis, Diego Kiedanski, Leandros Tassiulas:
An Overview of the Data-Loader Landscape: Comparative Performance Analysis. CoRR abs/2209.13705 (2022) - [i42]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 abs/2210.03534 (2022) - [i41]Nikolaos Papadis, Leandros Tassiulas:
Deep Reinforcement Learning-based Rebalancing Policies for Profit Maximization of Relay Nodes in Payment Channel Networks. CoRR abs/2210.07302 (2022) - [i40]Nitish K. Panigrahy, Thirupathaiah Vasantam, Don Towsley, Leandros Tassiulas:
On the Capacity Region of a Quantum Switch with Entanglement Purification. CoRR abs/2212.01463 (2022) - [i39]Yuang Jiang, Konstantinos Poularakis, Diego Kiedanski, Sastry Kompella, Leandros Tassiulas:
Robust and Resource-efficient Machine Learning Aided Viewport Prediction in Virtual Reality. CoRR abs/2212.09945 (2022) - [i38]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: 1385 (2022) - 2021
- [b1]Konstantinos Poularakis, Leandros Tassiulas, T. V. Lakshman:
Modeling and Optimization in Software-Defined Networks. Synthesis Lectures on Learning, Networks, and Algorithms, Morgan & Claypool Publishers 2021, ISBN 978-3-031-01254-9, pp. 1-174 - [j175]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): 3606-3621 (2021) - [j174]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): 4576-4588 (2021) - [j173]Víctor Valls, George Iosifidis, Leandros Tassiulas:
Birkhoff's Decomposition Revisited: Sparse Scheduling for High-Speed Circuit Switches. IEEE/ACM Trans. Netw. 29(6): 2399-2412 (2021) - [j172]Yeshwanth Venkatesha, Youngeun Kim, Leandros Tassiulas, Priyadarshini Panda:
Federated Learning With Spiking Neural Networks. IEEE Trans. Signal Process. 69: 6183-6194 (2021) - [c294]Nicholas Nordlund, Vassilis Vassiliadis, Michele Gazzetti, Dimitris Syrivelis, Leandros Tassiulas:
Energy-Aware Learning Agent (EALA) for Disaggregated Cloud Scheduling. CLOUD 2021: 578-583 - [c293]Akrit Mudvari, Nikos Makris, Leandros Tassiulas:
ML-driven scaling of 5G Cloud-Native RANs. GLOBECOM 2021: 1-6 - [c292]Konstantinos Poularakis, Qiaofeng Qin, Franck Le, Sastry Kompella, Leandros Tassiulas:
Generalizable and Interpretable Deep Learning for Network Congestion Prediction. ICNP 2021: 1-10 - [c291]Bing Luo, Xiang Li, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas:
Cost-Effective Federated Learning Design. INFOCOM 2021: 1-10 - [c290]Zheyu Chen, Kin K. Leung, Shiqiang Wang, Leandros Tassiulas, Kevin Chan:
Robust Solutions to Constrained Optimization Problems by LSTM Networks. MILCOM 2021: 503-508 - [c289]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: 319-348 - [c288]Leandros Tassiulas:
Enabling Intelligent Services at the Network Edge. SIGMETRICS (Abstracts) 2021: 69-70 - [i37]Nikolaos Papadis, Leandros Tassiulas:
State-Dependent Processing in Payment Channel Networks for Throughput Optimization. CoRR abs/2103.17207 (2021) - [i36]Yeshwanth Venkatesha, Youngeun Kim, Leandros Tassiulas, Priyadarshini Panda:
Federated Learning with Spiking Neural Networks. CoRR abs/2106.06579 (2021) - [i35]Bing Luo, Xiang Li, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas:
Cost-Effective Federated Learning in Mobile Edge Networks. CoRR abs/2109.05411 (2021) - [i34]Bing Luo, Wenli Xiao, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas:
Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling. CoRR abs/2112.11256 (2021) - 2020
- [j171]Nikolaos Papadis, Leandros Tassiulas:
Blockchain-Based Payment Channel Networks: Challenges and Recent Advances. IEEE Access 8: 227596-227609 (2020) - [j170]Leonidas Georgiadis, George Iosifidis, Leandros Tassiulas:
On the Efficiency of Sharing Economy Networks. IEEE Trans. Netw. Sci. Eng. 7(3): 1094-1110 (2020) - [j169]Konstantinos Poularakis, Jaime Llorca, Antonia M. 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): 1047-1060 (2020) - [c287]Victor Valls, George Iosifidis, Douglas J. Leith, Leandros Tassiulas:
Online Convex Optimization with Perturbed Constraints: Optimal Rates against Stronger Benchmarks. AISTATS 2020: 2885-2895 - [c286]Harris Niavis, Nikolaos Papadis, Venu Reddy, Hanumantha Rao, Leandros Tassiulas:
A Blockchain-based Decentralized Data Sharing Infrastructure for Off-grid Networking. IEEE ICBC 2020: 1-5 - [c285]Qiaofeng Qin, Konstantinos Poularakis, Leandros Tassiulas:
A Learning Approach with Programmable Data Plane towards IoT Security. ICDCS 2020: 410-420 - [c284]Víctor Valls, George Iosifidis, Geeth de Mel, Leandros Tassiulas:
Online Network Flow Optimization for Multi-Grade Service Chains. INFOCOM 2020: 1329-1338 - [c283]Qiaofeng Qin, Nakjung Choi, Muntasir Raihan Rahman, Marina Thottan, Leandros Tassiulas:
Network Slicing in Heterogeneous Software-defined RANs. INFOCOM 2020: 2371-2380 - [c282]Konstantinos Poularakis, Jaime Llorca, Antonia M. Tulino, Leandros Tassiulas:
Approximation algorithms for data-intensive service chain embedding. MobiHoc 2020: 131-140 - [c281]Qiaofeng Qin, Leandros Tassiulas:
Auction-based Network Slicing Architecture and Experimentation on SD-RANs. OpenWireless@MobiSys 2020: 1-6 - [c280]Yuang Jiang, Murali S. Kodialam, T. V. Lakshman, Sarit Mukherjee, Leandros Tassiulas:
Fast Reinforcement Learning Algorithms for Resource Allocation in Data Centers. Networking 2020: 271-279 - [c279]Qiaofeng Qin, Konstantinos Poularakis, Kin K. Leung, Leandros Tassiulas:
Line-Speed and Scalable Intrusion Detection at the Network Edge via Federated Learning. Networking 2020: 352-360 - [c278]Donatos Stavropoulos, Vasileios Miliotis, Thanasis Korakis, Leandros Tassiulas:
On the Implementation of Matching Theory Based Resource Allocation in Networking Testbeds. NOMS 2020: 1-2 - [c277]Donatos Stavropoulos, Vasileios Miliotis, Thanasis Korakis, Leandros Tassiulas:
Matching Theory Application for Efficient Allocation of Indivisible Testbed Resources. NOMS 2020: 1-7 - [c276]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: 67-68 - [c275]Apostolos Apostolaras, Kostas Chounos, Leandros Tassiulas, Thanasis Korakis:
Servicing Inelasticity, Leasing Resources and Pricing in 5G Networks. WiOpt 2020: 113-120 - [i33]Harris Niavis, Nikolaos Papadis, Leandros Tassiulas:
A Blockchain-based Decentralized Data Sharing Infrastructure for Off-grid Networking. CoRR abs/2006.07521 (2020) - [i32]Víctor Valls, George Iosifidis, Leandros Tassiulas:
Birkhoff's Decomposition Revisited: Sparse Scheduling for High-Speed Circuit Switches. CoRR abs/2011.02752 (2020) - [i31]Bing Luo, Xiang Li, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas:
Cost-Effective Federated Learning Design. CoRR abs/2012.08336 (2020)
2010 – 2019
- 2019
- [j168]Konstantinos Poularakis, Qiaofeng Qin, Erich M. Nahum, Miguel Rio, Leandros Tassiulas:
Flexible SDN control in tactical ad hoc networks. Ad Hoc Networks 85: 71-80 (2019) - [j167]Jeffrey E. Wieselthier, Leandros Tassiulas, Eytan H. Modiano:
Editorial. Ad Hoc Networks 88: 33-35 (2019) - [j166]Dimitrios Papakostas, Soheil Eshghi, Dimitrios Katsaros, Leandros Tassiulas:
Distributed Algorithms for Multi-Layer Connected Edge Dominating Sets. IEEE Control. Syst. Lett. 3(1): 31-36 (2019) - [j165]Boxi Liu, Konstantinos Poularakis, Leandros Tassiulas, Tao Jiang:
Joint Caching and Routing in Congestible Networks of Arbitrary Topology. IEEE Internet Things J. 6(6): 10105-10118 (2019) - [j164]Jordi Ros-Giralt, Atul Bohara, Sruthi Yellamraju, Matthew Harper Langston, Richard Lethin, Yuang Jiang, Leandros Tassiulas, Josie Li, Yuanlong Tan, Malathi Veeraraghavan:
On the Bottleneck Structure of Congestion-Controlled Networks. Proc. ACM Meas. Anal. Comput. Syst. 3(3): 59:1-59:31 (2019) - [j163]Konstantinos Poularakis, George Iosifidis, Leandros Tassiulas:
Joint Deployment and Pricing of Next-Generation WiFi Networks. IEEE Trans. Commun. 67(9): 6193-6205 (2019) - [j162]Konstantinos Poularakis, George Iosifidis, Antonios Argyriou, Iordanis Koutsopoulos, Leandros Tassiulas:
Distributed Caching Algorithms in the Realm of Layered Video Streaming. IEEE Trans. Mob. Comput. 18(4): 757-770 (2019) - [j161]Abhishek Sinha, Leandros Tassiulas, Eytan H. Modiano: