statistiche ricercatore

Continente	#
AS - Asia	773
EU - Europa	689
NA - Nord America	499
SA - Sud America	75
Continente sconosciuto - Info sul continente non disponibili	41
AF - Africa	5
Totale	2.082

Nazione	#
US - Stati Uniti d'America	471
IT - Italia	374
VN - Vietnam	211
SG - Singapore	210
CN - Cina	145
RU - Federazione Russa	140
HK - Hong Kong	61
FR - Francia	59
BR - Brasile	55
KR - Corea	37
BD - Bangladesh	34
BE - Belgio	24
IN - India	18
DE - Germania	16
GB - Regno Unito	13
SE - Svezia	13
CA - Canada	12
NL - Olanda	11
AT - Austria	9
JP - Giappone	9
ES - Italia	8
PH - Filippine	7
TW - Taiwan	7
FI - Finlandia	6
TH - Thailandia	6
CO - Colombia	5
CR - Costa Rica	5
TR - Turchia	5
AR - Argentina	4
CH - Svizzera	4
IE - Irlanda	4
JM - Giamaica	4
PK - Pakistan	4
AE - Emirati Arabi Uniti	3
EC - Ecuador	3
ID - Indonesia	3
JO - Giordania	3
PE - Perù	3
UZ - Uzbekistan	3
VE - Venezuela	3
HN - Honduras	2
IL - Israele	2
IQ - Iraq	2
NI - Nicaragua	2
PT - Portogallo	2
SK - Slovacchia (Repubblica Slovacca)	2
TN - Tunisia	2
ZA - Sudafrica	2
AL - Albania	1
BH - Bahrain	1
CL - Cile	1
CY - Cipro	1
DK - Danimarca	1
EE - Estonia	1
GY - Guiana	1
LY - Libia	1
MM - Myanmar	1
MX - Messico	1
PA - Panama	1
RO - Romania	1
TT - Trinidad e Tobago	1
Totale	2.041

Nome	#
Automatic Layer Freezing for Communication Efficiency in Cross-Device Federated Learning	329
Private Tensor Freezing for an Efficient Federated Learning with Homomorphic Encryption	242
Refined Two-Sided Learning Rate Tuning for Robust Evaluation in Federated Learning	215
Enabling DVFS Side-Channel Attacks for Neural Network Fingerprinting in Edge Inference Services	211
Gradient-Aware Participation for Energy Reduction in Federated Learning with Extreme Label Skew	203
Communication-Efficient Federated Learning with Gradual Layer Freezing	195
Privacy-Preserving Federated Learning for Household Characteristic Identification	194
Draft & Refine: Efficient Resource Management in Federated Learning under Pathological Labels Skew	192
Adaptive Client Participation in Budget-Constrained Federated Learning with Extreme Label Skew	163
FedAGF: Adaptive Concurrency via Gradient Feedback for Mitigating Extreme Label Skew in Budget-Constrained Federated Learning	109
Distributed and Federated Learning over IoT networks	29
Totale	2.082

	Totale	Lug	Ago	Sett	Ott	Nov	Dic	Gen	Feb	Mar	Apr	Mag	Giu
2022/2023	28	0	0	0	0	11	5	2	5	1	0	1	3
2023/2024	129	1	0	34	6	11	11	11	6	4	11	19	15
2024/2025	406	10	21	25	73	27	26	54	25	36	35	26	48
2025/2026	1.413	75	32	167	163	51	62	148	123	268	126	62	136
2026/2027	106	62	43	1	0	0	0	0	0	0	0	0	0
Totale													2.082

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