Summary of Swarm Learning: a Survey Of Concepts, Applications, and Trends, by Elham Shammar et al.
Swarm Learning: A Survey of Concepts, Applications, and Trendsby Elham Shammar, Xiaohui Cui, Mohammed A.…
Swarm Learning: A Survey of Concepts, Applications, and Trendsby Elham Shammar, Xiaohui Cui, Mohammed A.…
Fairness Without Demographics in Human-Centered Federated Learningby Shaily Roy, Harshit Sharma, Asif SalekinFirst submitted to…
URVFL: Undetectable Data Reconstruction Attack on Vertical Federated Learningby Duanyi Yao, Songze Li, Xueluan Gong,…
Let’s Focus: Focused Backdoor Attack against Federated Transfer Learningby Marco Arazzi, Stefanos Koffas, Antonino Nocera,…
An Aggregation-Free Federated Learning for Tackling Data Heterogeneityby Yuan Wang, Huazhu Fu, Renuga Kanagavelu, Qingsong…
A Universal Metric of Dataset Similarity for Cross-silo Federated Learningby Ahmed Elhussein, Gamze GursoyFirst submitted…
FeDeRA:Efficient Fine-tuning of Language Models in Federated Learning Leveraging Weight Decompositionby Yuxuan Yan, Qianqian Yang,…
On the Impact of Data Heterogeneity in Federated Learning Environments with Application to Healthcare Networksby…
Bridging Data Barriers among Participants: Assessing the Potential of Geoenergy through Federated Learningby Weike Peng,…
Joint Energy and Latency Optimization in Federated Learning over Cell-Free Massive MIMO Networksby Afsaneh Mahmoudi,…