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ORCIDRamin Khalili
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2020 – today
- 2024
[j13]Nikolaos Koursioumpas
, Lina Magoula, Nikolaos Petropouleas, Alexandros-Ioannis Thanopoulos, Theodora Panagea, Nancy Alonistioti, Miguel Angel Gutierrez-Estevez, Ramin Khalili:
A Safe Deep Reinforcement Learning Approach for Energy Efficient Federated Learning in Wireless Communication Networks. IEEE Trans. Green Commun. Netw. 8(4): 1862-1874 (2024)- [j12]Jing Tan, Ramin Khalili, Holger Karl:
Multi-Objective Optimization Using Adaptive Distributed Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. 25(9): 10777-10789 (2024) - [j11]Stefan Schneider, Holger Karl, Ramin Khalili, Artur Hecker:
Multi-Agent Deep Reinforcement Learning for Coordinated Multipoint in Mobile Networks. IEEE Trans. Netw. Serv. Manag. 21(1): 908-924 (2024) - [c43]Philipp Wiesner, Ramin Khalili, Dennis Grinwald, Pratik Agrawal, Lauritz Thamsen, Odej Kao:
FedZero: Leveraging Renewable Excess Energy in Federated Learning. e-Energy 2024: 37-49 - [c42]Marcel Blöcher, Nils Nedderhut, Pavel Chuprikov, Ramin Khalili, Patrick Eugster, Lin Wang:
Train Once Apply Anywhere: Effective Scheduling for Network Function Chains Running on FUMES. INFOCOM 2024: 661-670 - [i20]Nikolaos Koursioumpas, Lina Magoula, Ioannis Stavrakakis, Nancy Alonistioti, Miguel Angel Gutierrez-Estevez, Ramin Khalili:
DISTINQT: A Distributed Privacy Aware Learning Framework for QoS Prediction for Future Mobile and Wireless Networks. CoRR abs/2401.10158 (2024) - [i19]Jing Tan, Ramin Khalili, Holger Karl:
Multi-Objective Optimization Using Adaptive Distributed Reinforcement Learning. CoRR abs/2403.08879 (2024) - 2023
- [j10]Marios Evangelos Kanakis, Ramin Khalili, Lin Wang:
Machine Learning for Computer Systems and Networking: A Survey. ACM Comput. Surv. 55(4): 71:1-71:36 (2023) - [j9]Kilian Pfeiffer, Martin Rapp, Ramin Khalili, Jörg Henkel:
Federated Learning for Computationally Constrained Heterogeneous Devices: A Survey. ACM Comput. Surv. 55(14s): 334:1-334:27 (2023) - [j8]Ramin Khalili, Ehsan Adib:
Soft-Switching Bridgeless Buck PFC With Low THD. IEEE Trans. Ind. Electron. 70(12): 12211-12218 (2023) - [j7]Kilian Pfeiffer, Martin Rapp, Ramin Khalili, Jörg Henkel:
CoCoFL: Communication- and Computation-Aware Federated Learning via Partial NN Freezing and Quantization. Trans. Mach. Learn. Res. 2023 (2023) - [c41]Kilian Pfeiffer, Ramin Khalili, Jörg Henkel:
Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices. NeurIPS 2023 - [c40]Lina Magoula, Nikolaos Koursioumpas, Alexandros-Ioannis Thanopoulos, Theodora Panagea, Nikolaos Petropouleas, Miguel Angel Gutierrez-Estevez, Ramin Khalili:
A Safe Genetic Algorithm Approach for Energy Efficient Federated Learning in Wireless Communication Networks. PIMRC 2023: 1-6 - [i18]Philipp Wiesner, Ramin Khalili, Dennis Grinwald, Pratik Agrawal, Lauritz Thamsen, Odej Kao:
FedZero: Leveraging Renewable Excess Energy in Federated Learning. CoRR abs/2305.15092 (2023) - [i17]Kilian Pfeiffer, Ramin Khalili, Jörg Henkel:
Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices. CoRR abs/2305.17005 (2023) - [i16]Lina Magoula, Nikolaos Koursioumpas, Alexandros-Ioannis Thanopoulos, Theodora Panagea, Nikolaos Petropouleas, Miguel Angel Gutierrez-Estevez, Ramin Khalili:
A Safe Genetic Algorithm Approach for Energy Efficient Federated Learning in Wireless Communication Networks. CoRR abs/2306.14237 (2023) - [i15]Kilian Pfeiffer, Martin Rapp, Ramin Khalili, Jörg Henkel:
Federated Learning for Computationally-Constrained Heterogeneous Devices: A Survey. CoRR abs/2307.09182 (2023) - [i14]Nikolaos Koursioumpas, Lina Magoula, Nikolaos Petropouleas, Alexandros-Ioannis Thanopoulos, Theodora Panagea, Nancy Alonistioti, Miguel Angel Gutierrez-Estevez, Ramin Khalili:
A Safe Deep Reinforcement Learning Approach for Energy Efficient Federated Learning in Wireless Communication Networks. CoRR abs/2308.10664 (2023) - 2022
- [j6]Jing Tan, Ramin Khalili, Holger Karl, Artur Hecker:
Multi-agent reinforcement learning for long-term network resource allocation through auction: A V2X application. Comput. Commun. 194: 333-347 (2022) - [j5]Taylan Sahin, Ramin Khalili, Mate Boban, Adam Wolisz:
Scheduling Out-of-Coverage Vehicular Communications Using Reinforcement Learning. IEEE Trans. Veh. Technol. 71(10): 11103-11119 (2022) - [c39]Martin Rapp, Ramin Khalili, Kilian Pfeiffer, Jörg Henkel:
DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems. AAAI 2022: 8062-8071 - [c38]Jing Tan, Ramin Khalili, Holger Karl, Artur Hecker:
Multi-Agent Distributed Reinforcement Learning for Making Decentralized Offloading Decisions. INFOCOM 2022: 2098-2107 - [c37]Karima Saif Khandaker, Dirk Trossen, Ramin Khalili, Zoran Despotovic, Artur Hecker, Georg Carle:
CArDS: Dealing a New Hand in Reducing Service Request Completion Times. IFIP Networking 2022: 1-9 - [c36]Stefan Schneider, Stefan Werner, Ramin Khalili, Artur Hecker, Holger Karl:
mobile-env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks. NOMS 2022: 1-3 - [c35]Lina Magoula, Nikolaos Koursioumpas, Sokratis Barmpounakis, Panagiotis Kontopoulos, Miguel Angel Gutierrez-Estevez, Ramin Khalili, Apostolos Kousaridas:
A Deep Learning Approach for Distributed QoS Prediction in Beyond 5G Networks. PIMRC 2022: 1407-1412 - [i13]Kilian Pfeiffer, Martin Rapp, Ramin Khalili, Jörg Henkel:
CoCo-FL: Communication- and Computation-Aware Federated Learning via Partial NN Freezing and Quantization. CoRR abs/2203.05468 (2022) - [i12]Jing Tan, Ramin Khalili, Holger Karl, Artur Hecker:
Multi-Agent Distributed Reinforcement Learning for Making Decentralized Offloading Decisions. CoRR abs/2204.02267 (2022) - [i11]Jing Tan, Ramin Khalili, Holger Karl:
Learning to Bid Long-Term: Multi-Agent Reinforcement Learning with Long-Term and Sparse Reward in Repeated Auction Games. CoRR abs/2204.02268 (2022) - [i10]Taylan Sahin, Ramin Khalili, Mate Boban, Adam Wolisz:
Scheduling Out-of-Coverage Vehicular Communications Using Reinforcement Learning. CoRR abs/2207.06537 (2022) - [i9]Jing Tan, Ramin Khalili, Holger Karl, Artur Hecker:
Multi-Agent Reinforcement Learning for Long-Term Network Resource Allocation through Auction: a V2X Application. CoRR abs/2208.04237 (2022) - 2021
- [j4]Stefan Schneider, Ramin Khalili, Adnan Manzoor, Haydar Qarawlus, Rafael Schellenberg, Holger Karl, Artur Hecker:
Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning. IEEE Trans. Netw. Serv. Manag. 18(3): 3829-3842 (2021) - [c34]Sokratis Barmpounakis, Lina Magoula, Nikolaos Koursioumpas, Ramin Khalili, José Mauricio Perdomo, Ramya Panthangi Manjunath:
LSTM-based QoS prediction for 5G-enabled Connected and Automated Mobility applications. 5GWF 2021: 436-440 - [c33]Taylan Sahin, Mate Boban, Ramin Khalili, Adam Wolisz:
iVRLS: In-coverage Vehicular Reinforcement Learning Scheduler. VTC Spring 2021: 1-7 - [i8]Martin Rapp, Ramin Khalili, Kilian Pfeiffer, Jörg Henkel:
DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems. CoRR abs/2112.08761 (2021) - 2020
- [c32]Stefan Schneider, Adnan Manzoor, Haydar Qarawlus, Rafael Schellenberg, Holger Karl, Ramin Khalili, Artur Hecker:
Self-Driving Network and Service Coordination Using Deep Reinforcement Learning. CNSM 2020: 1-9 - [c31]Marcel Blöcher, Ramin Khalili, Lin Wang, Patrick Eugster:
Letting off STEAM: Distributed Runtime Traffic Scheduling for Service Function Chaining. INFOCOM 2020: 824-833 - [i7]Martin Rapp, Ramin Khalili, Jörg Henkel:
Distributed Learning on Heterogeneous Resource-Constrained Devices. CoRR abs/2006.05403 (2020)
2010 – 2019
- 2019
- [c30]Taylan Sahin, Mate Boban, Ramin Khalili, Adam Wolisz:
A Hybrid Sensing and Reinforcement Learning Scheduler for Vehicle-to-Vehicle Communications. ACSSC 2019: 1136-1143 - [c29]Taylan Sahin, Ramin Khalili, Mate Boban, Adam Wolisz:
VRLS: A Unified Reinforcement Learning Scheduler for Vehicle-to-Vehicle Communications. CAVS 2019: 1-7 - [i6]Taylan Sahin, Ramin Khalili, Mate Boban, Adam Wolisz:
Reinforcement Learning Scheduler for Vehicle-to-Vehicle Communications Outside Coverage. CoRR abs/1904.12653 (2019) - [i5]Taylan Sahin, Ramin Khalili, Mate Boban, Adam Wolisz:
VRLS: A Unified Reinforcement Learning Scheduler for Vehicle-to-Vehicle Communications. CoRR abs/1907.09319 (2019) - 2018
- [j3]Ramin Khalili, Zoran Despotovic, Artur Hecker:
Flow Setup Latency in SDN Networks. IEEE J. Sel. Areas Commun. 36(12): 2631-2639 (2018) - [c28]Ahsan Malik, Xun Xiao, Ramin Khalili, Artur Hecker:
Towards Careless Wireless Mobile Networks. GLOBECOM Workshops 2018: 1-6 - [c27]Ahsan Malik, Xun Xiao, Ramin Khalili, Mayutan Arumaithurai, Xiaoming Fu, Zoran Despotovic, Artur Hecker:
Autonomous Edge Resource Organization with Smallcell Integration in 5G. ICC Workshops 2018: 1-6 - [c26]Taylan Sahin, Ramin Khalili, Mate Boban, Adam Wolisz:
Reinforcement Learning Scheduler for Vehicle-to-Vehicle Communications Outside Coverage. VNC 2018: 1-8 - 2017
- [c25]Maja Curic, Georg Carle, Zoran Despotovic, Ramin Khalili, Artur Hecker:
SDN on ACIDs. CAN@CoNEXT 2017: 19-24 - [c24]Miroslav Popovic, Ramin Khalili, Jean-Yves Le Boudec:
Performance comparison of node-redundant multicast distribution trees in SDN networks. NetSys 2017: 1-8 - 2016
- [j2]Yung-Chih Chen, Don Towsley, Ramin Khalili:
MSPlayer: Multi-Source and Multi-Path Video Streaming. IEEE J. Sel. Areas Commun. 34(8): 2198-2206 (2016) - [c23]Ramin Khalili, Wint Yi Poe, Zoran Despotovic, Artur Hecker:
Reducing State of OpenFlow Switches in Mobile Core Networks by Flow Rule Aggregation. ICCCN 2016: 1-9 - [c22]Clarissa Cassales Marquezan, Xueli An, Zoran Despotovic, Ramin Khalili, Artur Hecker:
Identifying latency factors in SDN-based Mobile Core Networks. ISCC 2016: 484-491 - [c21]Clarissa Cassales Marquezan, Xueli An, Zoran Despotovic, Ramin Khalili, Artur Hecker:
Dispatching PACKET_INs to the right SDN control application via context interpretation in Mobile Core Networks. NOMS 2016: 686-690 - [c20]Clarissa Cassales Marquezan, Zoran Despotovic, Ramin Khalili, David Pérez-Caparrós, Artur Hecker:
Understanding processing latency of SDN based mobility management in mobile core networks. PIMRC 2016: 1-7 - 2014
- [c19]Yung-Chih Chen, Don Towsley, Ramin Khalili:
MSPlayer: Multi-Source and multi-Path LeverAged YoutubER. CoNEXT 2014: 263-270 - [c18]Galen J. Wilkerson, Ramin Khalili, Stefan Schmid:
Urban mobility scaling: Lessons from 'little data'. INFOCOM Workshops 2014: 777-782 - [c17]Florin Ciucu, Ramin Khalili, Yuming Jiang, Liu Yang, Yong Cui:
Towards a system theoretic approach to wireless network capacity in finite time and space. INFOCOM 2014: 2391-2399 - [c16]Juhoon Kim, Yung-Chih Chen, Ramin Khalili, Don Towsley, Anja Feldmann:
Multi-source multipath HTTP (mHTTP): a proposal. SIGMETRICS 2014: 583-584 - [i4]Galen J. Wilkerson, Ramin Khalili, Stefan Schmid:
Urban Mobility Scaling: Lessons from 'Little Data'. CoRR abs/1401.0207 (2014) - [i3]Yung-Chih Chen, Don Towsley, Ramin Khalili:
MSPlayer: Multi-Source and multi-Path LeverAged YoutubER. CoRR abs/1406.6772 (2014) - 2013
- [j1]Ramin Khalili, Nicolas Gast, Miroslav Popovic, Jean-Yves Le Boudec:
MPTCP Is Not Pareto-Optimal: Performance Issues and a Possible Solution. IEEE/ACM Trans. Netw. 21(5): 1651-1665 (2013) - [c15]Philipp S. Schmidt, Theresa Enghardt, Ramin Khalili, Anja Feldmann:
Socket intents: leveraging application awareness for multi-access connectivity. CoNEXT 2013: 295-300 - [c14]Christoph Paasch, Ramin Khalili, Olivier Bonaventure:
On the benefits of applying experimental design to improve multipath TCP. CoNEXT 2013: 393-398 - [c13]Yung-Chih Chen, Yeon-Sup Lim, Richard J. Gibbens, Erich M. Nahum, Ramin Khalili, Don Towsley:
A measurement-based study of MultiPath TCP performance over wireless networks. Internet Measurement Conference 2013: 455-468 - [i2]Florin Ciucu, Ramin Khalili, Yuming Jiang, Liu Yang, Yong Cui:
A System Theoretic Approach for Network Capacity in Finite Time and Space Regimes. CoRR abs/1307.7584 (2013) - [i1]Juhoon Kim, Ramin Khalili, Anja Feldmann, Yung-Chih Chen, Don Towsley:
Multi-Source Multi-Path HTTP (mHTTP): A Proposal. CoRR abs/1310.2748 (2013) - 2012
- [c12]Ramin Khalili, Nicolas Gast, Miroslav Popovic, Utkarsh Upadhyay, Jean-Yves Le Boudec:
MPTCP is not pareto-optimal: performance issues and a possible solution. CoNEXT 2012: 1-12 - 2011
- [c11]Katerina Dufková, Jean-Yves Le Boudec, Miroslav Popovic, Milan Z. Bjelica, Ramin Khalili, Lukas Kencl:
Energy consumption comparison between macro-micro and public femto deployment in a plausible LTE network. e-Energy 2011: 67-76 - [c10]Teklemariam Tsegay Tesfay, Ramin Khalili, Jean-Yves Le Boudec, Fred Richter, Albrecht J. Fehske:
Energy saving and capacity gain of micro sites in regular LTE networks: downlink traffic layer analysis. PM2HW2N@MSWiM 2011: 83-92 - 2010
- [c9]Ramin Khalili, Dennis Goeckel, Donald F. Towsley, Ananthram Swami:
Neighbor Discovery with Reception Status Feedback to Transmitters. INFOCOM 2010: 2375-2383
2000 – 2009
- 2009
- [c8]Sudarshan Vasudevan, Donald F. Towsley, Dennis Goeckel, Ramin Khalili:
Neighbor discovery in wireless networks and the coupon collector's problem. MobiCom 2009: 181-192 - 2008
- [c7]Ramin Khalili, James F. Kurose:
A Distributed Minimum-Distortion Routing Algorithm with In-Network Data Processing. INFOCOM 2008: 2351-2359 - [c6]Ramin Khalili, James F. Kurose:
Practical Algorithms for Gathering Stored Correlated Data in a Network. SECON 2008: 487-496 - 2006
- [c5]Ramin Khalili, Kavé Salamatian:
A tighter Cut-Set bound for the multi-terminal erasure channel without side information. ISIT 2006: 1876-1880 - 2005
- [c4]Ramin Khalili, Kavé Salamatian:
A New Analytic Approach to Evaluation of Packet Error Rate in Wireless Networks. CNSR 2005: 333-338 - [c3]Ramin Khalili, Kavé Salamatian:
On the capacity of erasure relay channel: multi-relay case. ITW 2005: 103-107 - [c2]Ramin Khalili, Kavé Salamatian:
A New Relaying Scheme for Cheap Wireless Relay Nodes. WiOpt 2005: 197-206 - 2004
- [c1]Luigi Iannone, Ramin Khalili, Kavé Salamatian, Serge Fdida:
Cross-layer routing in wireless mesh networks. ISWCS 2004: 319-323
Coauthor Index
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last updated on 2024-12-23 19:33 CET by the dblp team
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