statistiche ricercatore

Nome	#
Cluster-driven Graph Federated Learning over Multiple Domains	119
Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients	102
DA4Event: towards bridging the Sim-to-Real Gap for Event Cameras using Domain Adaptation	101
Incremental Learning in Semantic Segmentation from Image Labels	89
Window-based Model Averaging Improves Generalization in Heterogeneous Federated Learning	88
Public Information Representation for Adversarial Team Games	86
FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving	72
N-ROD: a Neuromorphic Dataset for Synthetic-to-Real Domain Adaptation	71
Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning	66
Accelerating Federated Learning via Sequential Training of Grouped Heterogeneous Clients	63
Improving Generalization in Federated Learning by Seeking Flat Minima	61
FedDrive v2: an Analysis of the Impact of Label Skewness in Federated Semantic Segmentation for Autonomous Driving	56
A Marriage between Adversarial Team Games and 2-player Games: Enabling Abstractions, No-regret Learning, and Subgame Solving	52
Transient-fault-aware design and training to enhance DNNs reliability with zero-overhead	49
Accelerating Heterogeneous Federated Learning with Closed-form Classifiers	27
Fed3R: Recursive Ridge Regression for Federated Learning with strong pre-trained models	24
Finding Lottery Tickets in Vision Models via Data-driven Spectral Foresight Pruning	20
Totale	1.146

	Totale	Lug	Ago	Sett	Ott	Nov	Dic	Gen	Feb	Mar	Apr	Mag	Giu
2020/2021	68	0	0	0	0	0	0	0	0	0	8	28	32
2021/2022	240	7	8	12	7	9	7	2	4	8	28	117	31
2022/2023	344	17	48	52	42	35	34	16	21	51	7	8	13
2023/2024	317	3	65	39	36	19	23	19	15	31	30	25	12
2024/2025	177	63	90	24	0	0	0	0	0	0	0	0	0
Totale													1.146

PORTO @ Archivio Istituzionale della Ricerca