[rfp2316] towards personalized privacy: user-governed data contribution for federated recommendation
Published 8 months ago • 38 plays • Length 2:57Download video MP4
Download video MP3
Similar videos
-
11:27
towards personalized privacy user governed data contribution for federated recommendation
-
![[rfp2375] towards efficient communication and secure federated recommendation system via low-rank tr](https://i.ytimg.com/vi/ZbuUDZpP180/mqdefault.jpg)
2:19
[rfp2375] towards efficient communication and secure federated recommendation system via low-rank tr
-
15:34
stronger privacy for federated collaborative filtering with implicit feedback
-
2:01
kdd 2023 - vertical federated linear contextual bandits for privacy-protected recommendation
-
15:02
fedps: a privacy protection enhanced personalized search framework
-
3:24
id 38: privacy-preserving patient clustering for personalized federated learning
-
12:27
hierarchical personalized federated learning for user modeling
-
1:54
kdd 2023 - an interpretable federated multivariate time series classification framework
-
2:06
kdd 2023 - privacypreserving pseudo value-based deep learning models for federated survival analysis
-
16:29
session 4: toward fair federated recommendation learning
-
2:02
kdd2023 recommender systems with human preferences for reinforcing long-term user engagement.
-
1:59
kdd 2023 - personalized federated learning with parameter propagation
-
2:00
kdd 2023 - hitchhiking generic federated learning - efficient shift robust personalization
-
3:16
federated learning: a new era of privacy-preserving ai | icert global
-
3:40:14
pursuing privacy in recommender systems
-
9:21
recsys 2016: paper session 1 - a scalable approach for periodical personalized recommendations
-
1:58
kdd 2023 - fedmultimodal: a benchmark for multimodal federated learning
-
2:00
【mir series】federated learning with privacy-preserving and model ip-right-protection