| Nome |
# |
|
Experimental Demonstration of Flexible Bandwidth Optical Data Center Core Network With All-to-All Interconnectivity, file 6acb9449-9c50-484e-8fac-1ff2e073e503
|
7
|
|
Leveraging mixed-strategy gaming to realize incentive-driven VNF service chain provisioning in broker-based elastic optical inter-datacenter networks, file 8cc5327a-19b9-4185-9536-1de5a8546ac0
|
7
|
|
Detection and Localization of Metropolitan Anthropic Activities by SOP Monitoring of IM-DD Optical Data Channels, file 6aa40c8e-3f11-4d8b-be02-cc3a90c71ffc
|
6
|
|
Machine-Learning-Aided Bandwidth and Topology Reconfiguration for Optical Data Center Networks, file 11d6c872-95be-4c0e-b8f7-ad78a62d582a
|
5
|
|
Earthquake Early Warning through Terrestrial Optical Networks: A Bi-GRU Attention Model Approach on SOP Data, file ead5cef7-45eb-4a4e-9339-4b0206a19c9c
|
5
|
|
A 80 km reach fully passive WDM-PON based on reflective ONUs, file f70e1b73-3a1b-48ac-9e02-11f25702dc41
|
5
|
|
Exploiting Terrestrial Meshed Optical Data Networks as Environmental Sensing Smart Grids, file 0c473729-a5e2-4f8b-b166-d792053b3d83
|
4
|
|
Environmental Sensing and Localization via SOP Monitoring of IM-DD Optical Data Channels, file 208442c5-2425-47df-a175-6a94b236f0ad
|
4
|
|
Blind modulation format identification using nonlinear power transformation, file 27de5935-e242-40e0-b08a-55122b6541f0
|
4
|
|
Smart Grid Optical Fiber Network for Earthquake Early Warnings, file 3d0f9e5f-8a30-4061-9486-23c88953d41e
|
4
|
|
When Task Scheduling Meets Flexible-bandwidth Optical Interconnects: A Cross-layer Resource Orchestration Design, file 986c2bd3-f57f-46cd-83ff-6eb9beaa6514
|
4
|
|
Energy-efficient and Scalable Data Centers with Flexible Bandwidth SiPh All-to-All Fabrics, file a53309a6-bd41-4bb9-b29e-a2433abaacc3
|
4
|
|
Demonstration of distributed collaborative learning with end-to-end QoT estimation in multi-domain elastic optical networks, file b2114d6c-a3fa-4624-86f6-3278b9b9043b
|
4
|
|
Self-Taught Anomaly Detection With Hybrid Unsupervised/Supervised Machine Learning in Optical Networks, file 1485c552-8756-48bc-9887-fb133102214f
|
3
|
|
Silicon Photonic Flex-LIONS for Reconfigurable Multi-GPU Systems, file 15fcd8d2-2840-4079-928d-9434ffe2684b
|
3
|
|
HTA: A Scalable High-Throughput Accelerator for Irregular HPC Workloads, file 7e5e01b9-c693-4828-ad0b-5b608df08c6b
|
3
|
|
Earthquake Emulation for Environmental Sensing in Terrestrial Telecom Networks, file b3e7ef8d-eb70-4cf9-941d-c80c78c2964b
|
3
|
|
A scalable silicon photonic chip-scale optical switch for high performance computing systems, file b741828f-1474-42ba-a220-a5ec8fa62c90
|
3
|
|
Experimental demonstration of machine-learning-aided QoT estimation in multi-domain elastic optical networks with alien wavelengths, file c17e10c6-1389-4c75-9727-b94398b7d07c
|
3
|
|
Sparse Optical Arbitrary Waveform Measurement by Compressive Sensing, file c387a25b-a6a3-4eac-9158-e20e8c7eb268
|
3
|
|
SL-Hyper-FleX: A cognitive and flexible-bandwidth optical datacom network by self-supervised learning [Invited], file d04f4d9d-a8e3-45fa-8242-ecf53e3d3fb0
|
3
|
|
Photonic spiking neural networks with event-driven femtojoule optoelectronic neurons based on Izhikevich-inspired model, file d91572e8-8df0-4034-b0df-ab9de1b1787c
|
3
|
|
Experimental demonstration of flexible bandwidth networking with real-time impairment awareness, file dc6ae042-572e-4d0c-8946-2e9b6f15d71c
|
3
|
|
Detection, Localization and Emulation of Environmental Activities Using SOP Monitoring of IMDD Optical Data Channels, file f6c6b0e9-d605-4096-8c7b-1aafc744f57a
|
3
|
|
Enabling Scalable Disintegrated Computing Systems With AWGR-Based 2.5D Interconnection Networks, file 0f8dd5ce-93e4-40e1-b036-fc5ac3e74b11
|
2
|
|
Machine-Learning-Aided Bandwidth and Topology Reconfiguration for Optical Data Center Networks, file 1927cc5c-8dba-4bc0-aa80-a8568770a3d3
|
2
|
|
Performance studies of 3D-Hyper-FleX-LION for HPC applications, file 256b8c6c-e7c6-49dc-8a24-cb2d661a1dae
|
2
|
|
Intra-Datacenter Network Architectures, file 282a1b26-4b90-41d5-a1b5-6e587687b850
|
2
|
|
Collaborative learning in multi-domain optical networks, file 285d84c0-44ad-4a1c-99bd-ed05064ded8b
|
2
|
|
Silicon Photonic Flex-LIONS for Bandwidth-Reconfigurable Optical Interconnects, file 443a5320-f8d5-4589-915d-70f7f795fc14
|
2
|
|
Foundry-Enabled Scalable All-to-All Optical Interconnects Using Silicon Nitride Arrayed Waveguide Router Interposers and Silicon Photonic Transceivers, file 991dd9d8-6e42-4e9d-8341-111fd052d752
|
2
|
|
Photonic Interferometric Imager with monolithic silicon CMOS photonic integrated circuits, file 9a89fe8f-d218-40af-8feb-63e2f0173ecd
|
2
|
|
Silicon Photonic Flex-LIONS for Reconfigurable Multi-GPU Systems, file 9bae04f3-c294-4a17-af71-32e1f3c02041
|
2
|
|
Demonstration of a carrier frequency offset estimator for 16-/32-QAM coherent receivers: a hardware perspective, file 9e9f9a24-e11c-42f9-a7c5-b79e6040896e
|
2
|
|
Building Autonomic Elastic Optical Networks with Deep Reinforcement Learning, file bd8d8383-d4ff-490d-9fb9-e536feb14142
|
2
|
|
Performance studies of evolutionary transfer learning for end-to-end QoT estimation in multi-domain optical networks [Invited], file c27a6fec-8dfb-496e-a5a9-b6a758c3f01a
|
2
|
|
Energy-efficient and Scalable Data Centers with Flexible Bandwidth SiPh All-to-All Fabrics, file c2d45b78-2347-49a0-b167-30031ff12ebd
|
2
|
|
Environmental Sensing and Localization via SOP Monitoring of IM-DD Optical Data Channels, file c794601b-2b27-4829-8675-21c17b47e0d6
|
2
|
|
Silicon Photonic Flex-LIONS for Bandwidth-Reconfigurable Optical Interconnects, file c847465e-e955-43ab-8283-f364897d7ff9
|
2
|
|
A simple and low-power optical limiter for multi-GHz pulse trains, file c8edbb46-37b2-4f67-b773-f470b01b04c8
|
2
|
|
SL-Hyper-FleX: A cognitive and flexible-bandwidth optical datacom network by self-supervised learning [Invited], file ca7bea6a-7f38-4213-94c3-fdb307813678
|
2
|
|
Machine-learning-aided cognitive reconfiguration for flexible-bandwidth HPC and data center networks [Invited], file cdef59f8-1278-4e5d-a3d4-7899d5264134
|
2
|
|
Which can Accelerate Distributed Machine Learning Faster: Hybrid Optical/Electrical or Optical Reconfigurable DCN?, file efa2145d-b248-4c9a-b0e1-9ebef4f49868
|
2
|
|
Analysis of the Hardware Imprecisions for Scalable and Compact Photonic Tensorized Neural Networks, file f6abb40f-939d-4afe-954e-90bdf792a3b2
|
2
|
|
First Demonstration of Monolithic Silicon Photonic Integrated Circuit 32×32 Thin-CLOS AWGR for All-to-All Interconnections, file 02e47133-23c5-4be5-afe0-094b9558a7c8
|
1
|
|
Machine-Learning-Aided Dynamic Reconfiguration in Optical DC/HPC Networks (Invited), file 031eeee6-c6db-469c-9810-4a3fedfa163d
|
1
|
|
Adaptive Spectrum Control and Management in Elastic Optical Networks, file 04387e36-1819-4f3a-b0fd-87f69720dcaa
|
1
|
|
Collaborative learning in multi-domain optical networks, file 0951e05e-4e47-456a-a65b-c2c0b65e5d04
|
1
|
|
Cooperative Learning for Disaggregated Delay Modeling in Multidomain Networks, file 0acf346c-ed78-4149-8e72-7640c96e3013
|
1
|
|
Integrated SiPh Flex-LIONS Module for All-to-All Optical Interconnects with Bandwidth Steering, file 0c40f224-832d-451c-9851-0cc5f639f93f
|
1
|
|
Enabling Scalable Disintegrated Computing Systems With AWGR-Based 2.5D Interconnection Networks, file 0c9fc6d8-8bb9-42cf-a4e2-eedbb0b6a442
|
1
|
|
LLM: Realizing Low-Latency Memory by Exploiting Embedded Silicon Photonics for Irregular Workloads, file 0cadb4e9-2c09-43a9-9cc4-3935e7a93c14
|
1
|
|
Photonic Interferometric Imager with monolithic silicon CMOS photonic integrated circuits, file 0f921957-22ed-44c7-9144-99ce1977c874
|
1
|
|
DeepRMSA: A Deep Reinforcement Learning Framework for Routing, Modulation and Spectrum Assignment in Elastic Optical Networks, file 1695be44-4666-4064-a378-08e0569a4143
|
1
|
|
On Incentive-Driven VNF Service Chaining in Inter-Datacenter Elastic Optical Networks: A Hierarchical Game-Theoretic Mechanism, file 1bea76fb-1855-4c7c-9a7a-0754e395df9f
|
1
|
|
Split spectrum: a multi-channel approach to elastic optical networking, file 231515d6-dfb1-4731-ba44-c5318f5dcbcd
|
1
|
|
Integrated SiPh Flex-LIONS Module for All-to-All Optical Interconnects with Bandwidth Steering, file 25d5bc65-3d5a-4b38-aaeb-15742e8f1449
|
1
|
|
Machine-Learning-Aided Dynamic Reconfiguration in Optical DC/HPC Networks (Invited), file 27d382b4-44ce-43be-a9af-71a6fca0f3f5
|
1
|
|
Self-Taught Anomaly Detection With Hybrid Unsupervised/Supervised Machine Learning in Optical Networks, file 2beaa98e-0050-4ead-a59b-cd596e73bd1f
|
1
|
|
On Incentive-Driven VNF Service Chaining in Inter-Datacenter Elastic Optical Networks: A Hierarchical Game-Theoretic Mechanism, file 2cf78ddf-0d64-44e7-8d33-a935830ffcdf
|
1
|
|
Performance studies of evolutionary transfer learning for end-to-end QoT estimation in multi-domain optical networks [Invited], file 39496f80-3b62-4385-8da6-8cdcd295ec51
|
1
|
|
Sparse Optical Arbitrary Waveform Measurement by Compressive Sensing, file 39cf8eec-b2d2-476f-a1a2-52ad83ce5dc0
|
1
|
|
A Multi-Task-Learning-Based Transfer Deep Reinforcement Learning Design for Autonomic Optical Networks, file 44950172-0952-456f-8d82-ab800bf29f7a
|
1
|
|
Automating Optical Network Fault Management with Machine Learning, file 450991eb-79a6-4fe7-bfae-3ffbb93bf528
|
1
|
|
Automating Optical Network Fault Management with Machine Learning, file 4a2b950f-f438-4717-bcae-3668073b8d5f
|
1
|
|
First Demonstration of Monolithic Silicon Photonic Integrated Circuit 32×32 Thin-CLOS AWGR for All-to-All Interconnections, file 4f3d12eb-597f-4892-a8ab-9d6853a9741c
|
1
|
|
Multi-FSR Silicon Photonic Flex-LIONS Module for Bandwidth-Reconfigurable All-to-All Optical Interconnects, file 51647ca9-b6ee-4eb1-b81e-3a7ef2c5e620
|
1
|
|
On Cooperative Fault Management in Multi-Domain Optical Networks Using Hybrid Learning, file 53711a5e-cb1f-4874-a82e-a851e2f07c8f
|
1
|
|
Multi-Cluster Reconfiguration with Traffic Prediction in Hyper-Flex-LION Architecture, file 5b3b3d30-ada9-4026-8ad0-84f60a3b8bc9
|
1
|
|
HTA: A Scalable High-Throughput Accelerator for Irregular HPC Workloads, file 5d5f12c9-0c3f-4476-9ef4-eb3d734305dc
|
1
|
|
Flex-LIONS: a Silicon Photonic Bandwidth-Reconfigurable Optical Switch Fabric, file 6191ca34-fcdb-4eb0-8e2d-ba75595e0f8a
|
1
|
|
3D-Hyper-FleX-LION: A Flat and Reconfigurable Hyper-X Network for Datacenters, file 63005243-ddef-4440-a618-3e5c88bddaf3
|
1
|
|
Experimental demonstration of machine-learning-aided QoT estimation in multi-domain elastic optical networks with alien wavelengths, file 6d7d730b-876f-4be4-bc7c-e330267d14bb
|
1
|
|
Which can Accelerate Distributed Machine Learning Faster: Hybrid Optical/Electrical or Optical Reconfigurable DCN?, file 6e36b2d4-440a-4e17-9c64-c8ba2e82ed92
|
1
|
|
Hierarchical Learning for Cognitive End-to-End Service Provisioning in Multi-Domain Autonomous Optical Networks, file 7333f519-c2e3-4cd7-bc0a-5a49ea8846b8
|
1
|
|
Multi-Cluster Reconfiguration with Traffic Prediction in Hyper-Flex-LION Architecture, file 7499bf1c-680a-4d4d-af07-ef2493e74c8c
|
1
|
|
Rapid and complete hitless defragmentation method using a coherent RX LO with fast wavelength tracking in elastic optical networks, file 76f49412-4dac-4e65-93e7-a915298234f5
|
1
|
|
ERON: an energy-efficient and elastic RF-optical architecture for mmWave 5G radio access networks,, file 7cd60a1e-e673-40e9-afb0-f0c8f02fd7b0
|
1
|
|
Experimental Demonstration of Flexible Bandwidth Optical Data Center Core Network With All-to-All Interconnectivity, file 816ba254-79bf-493c-bcca-076f3d54653f
|
1
|
|
A Multi-Task-Learning-Based Transfer Deep Reinforcement Learning Design for Autonomic Optical Networks, file 83afba1c-1070-495d-8d25-d1758f1fd80e
|
1
|
|
LIONS: An AWGR-Based Low-Latency Optical Switch for High-Performance Computing and Data Centers, file 89cf07cb-8e8d-4e64-97a4-1cad3218e153
|
1
|
|
LIONS: An AWGR-Based Low-Latency Optical Switch for High-Performance Computing and Data Centers, file 8e6622c6-b786-4dca-b9e9-3d1336ad943c
|
1
|
|
Seismic detection through state-of-polarization analysis in optical fiber networks, file 997a9894-b238-4569-8b43-6b110ed4ae62
|
1
|
|
Performance studies of 3D-Hyper-FleX-LION for HPC applications, file 9b788c40-5f65-4859-8371-1df3ef124da4
|
1
|
|
Leveraging mixed-strategy gaming to realize incentive-driven VNF service chain provisioning in broker-based elastic optical inter-datacenter networks, file 9b97a24d-1cef-4065-9a70-67eba15f1fb1
|
1
|
|
Reconfigurable Optical Datacom Networks by Self-supervised Learning, file 9e6f8aba-4462-41fc-83d4-4beea7081473
|
1
|
|
Multi-FSR Silicon Photonic Flex-LIONS Module for Bandwidth-Reconfigurable All-to-All Optical Interconnects, file 9f14675b-d8a4-4028-8b51-c79ab9ffe3e8
|
1
|
|
Cooperative Learning for Disaggregated Delay Modeling in Multidomain Networks, file a69bcfe8-5c4c-4235-95a8-6eb7caea83b5
|
1
|
|
On Cooperative Fault Management in Multi-Domain Optical Networks Using Hybrid Learning, file aaf01d6f-d4e8-4278-8a75-190b23fe25d7
|
1
|
|
Foundry-Enabled Scalable All-to-All Optical Interconnects Using Silicon Nitride Arrayed Waveguide Router Interposers and Silicon Photonic Transceivers, file b3b83286-72cd-43a0-b437-7169f764624d
|
1
|
|
LLM: Realizing Low-Latency Memory by Exploiting Embedded Silicon Photonics for Irregular Workloads, file b8cd389c-993b-4d26-b8e1-8b9177286389
|
1
|
|
3D-Hyper-FleX-LION: A Flat and Reconfigurable Hyper-X Network for Datacenters, file ba267920-478c-4ae7-997f-9812aea59e3f
|
1
|
|
Analysis of the Hardware Imprecisions for Scalable and Compact Photonic Tensorized Neural Networks, file bbe20d15-2718-4808-b765-010f91a1ef85
|
1
|
|
System feasibility of using stimulated Brillouin scattering in self coherent detection schemes, file c909b994-2822-4636-a5a7-cc501dc8691d
|
1
|
|
DeepRMSA: A Deep Reinforcement Learning Framework for Routing, Modulation and Spectrum Assignment in Elastic Optical Networks, file c9154055-6eac-44d5-9bb0-9cf63d401fa7
|
1
|
|
Reconfigurable Optical Datacom Networks by Self-supervised Learning, file d0d44ea0-e0b1-4d22-a9b5-3d30e153fa9d
|
1
|
|
Hierarchical Learning for Cognitive End-to-End Service Provisioning in Multi-Domain Autonomous Optical Networks, file dc0b2b0f-e7d2-4ee1-993b-f313428a661e
|
1
|
|
When Task Scheduling Meets Flexible-bandwidth Optical Interconnects: A Cross-layer Resource Orchestration Design, file de7df90e-bb4b-4079-8b71-bc379b7b0549
|
1
|
|
Machine-learning-aided cognitive reconfiguration for flexible-bandwidth HPC and data center networks [Invited], file feb0e8c6-4d16-45f2-90fe-ab2239fe1b8f
|
1
|
| Totale |
191 |
Archivio Istituzionale della Ricerca