PORTO @ Archivio Istituzionale della Ricerca

CICCONE, MARCO
 Distribuzione geografica
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Continente #
EU - Europa 182
NA - Nord America 36
AS - Asia 5
Totale 223
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Nazione #
IT - Italia 119
US - Stati Uniti d'America 35
GB - Regno Unito 30
DE - Germania 15
IE - Irlanda 14
IR - Iran 2
SI - Slovenia 2
CA - Canada 1
CH - Svizzera 1
CN - Cina 1
CZ - Repubblica Ceca 1
JP - Giappone 1
VN - Vietnam 1
Totale 223
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Città #
Turin 42
Southend 29
Dublin 14
Bremen 12
Chandler 9
Milan 9
Torino 8
Rivoli 5
Rome 4
Settimo Torinese 4
Dallas 3
San Carlo 3
San Mateo 3
Ancona 2
Andover 2
Aversa 2
Basking Ridge 2
Berlin 2
Buffalo 1
Cagliari 1
Cincinnati 1
Columbus 1
Council Bluffs 1
Domodossola 1
Fremont 1
Ho Chi Minh City 1
Kashan 1
Laurel 1
Leek 1
Mahestan 1
Miami 1
Montalto Dora 1
New York 1
Palo Alto 1
Racconigi 1
Toronto 1
Trento 1
Woodbridge 1
Zurich 1
Totale 176
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Nome #
Cluster-driven Graph Federated Learning over Multiple Domains, file e384c433-7fd7-d4b2-e053-9f05fe0a1d67 65
DA4Event: towards bridging the Sim-to-Real Gap for Event Cameras using Domain Adaptation, file e384c433-d34f-d4b2-e053-9f05fe0a1d67 59
Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients, file e384c434-98fd-d4b2-e053-9f05fe0a1d67 20
Incremental Learning in Semantic Segmentation from Image Labels, file e384c434-98fc-d4b2-e053-9f05fe0a1d67 17
Transient-fault-aware design and training to enhance DNNs reliability with zero-overhead, file 61b0fc4e-0ac6-4cc7-aec3-bc2c4c1f0979 14
A Marriage between Adversarial Team Games and 2-player Games: Enabling Abstractions, No-regret Learning, and Subgame Solving, file 90b0acea-ce69-4672-95ef-071e25e4209e 9
Public Information Representation for Adversarial Team Games, file e384c434-9a80-d4b2-e053-9f05fe0a1d67 9
FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving, file 5c7c3237-e8cb-44c9-af8a-f64340b863e4 6
Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning, file 9fb51210-215d-4984-b227-b26de40adb7d 6
Accelerating Federated Learning via Sequential Training of Grouped Heterogeneous Clients, file 4e210ddf-23fd-41e4-85e3-f8bdc3deeaa7 3
Improving Generalization in Federated Learning by Seeking Flat Minima, file 8bc2bd70-40f9-43e7-9e3e-454788e0f153 3
FedDrive v2: an Analysis of the Impact of Label Skewness in Federated Semantic Segmentation for Autonomous Driving, file b25bfcbb-9e08-4f5d-a8f7-314390ad423d 3
Window-based Model Averaging Improves Generalization in Heterogeneous Federated Learning, file 1043357d-e7ab-4153-8d60-f106da24c487 2
DA4Event: towards bridging the Sim-to-Real Gap for Event Cameras using Domain Adaptation, file b8882c46-f9fd-47d2-842b-507b2cdf2df8 2
Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning, file e9a0e65d-27f5-434c-97c8-7fbead4c0536 2
Window-based Model Averaging Improves Generalization in Heterogeneous Federated Learning, file 0af8bd57-c19f-41f7-a0d7-377ba823aef1 1
Improving Generalization in Federated Learning by Seeking Flat Minima, file 0b79170c-a4ef-4ab1-a818-7fb62c25cd33 1
Transient-fault-aware design and training to enhance DNNs reliability with zero-overhead, file 1e625d9d-3386-4da8-9814-3e2b1ba94573 1
Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients, file f874a8d0-d75c-4400-88c8-4d9d725cb412 1
Totale 224
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Categoria #
all - tutte 482
article - articoli 127
book - libri 0
conference - conferenze 355
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 964
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/202114 0 0 0 0 0 0 0 0 0 0 5 9
2021/2022104 4 12 3 6 13 3 6 14 5 9 20 9
2022/202392 6 4 9 4 19 18 7 9 11 4 1 0
2023/202414 1 0 0 5 0 0 1 3 1 2 1 0
Totale 224