Governance Framework For Non-personal Data
	
	
			- 
				 CDPG 
			
 
			- 
				 February 21, 2025 
			
 
		 
			- 
				 Policy			
 
		
		
			- 
				 
  					0 Comments			
  
	
	
	DATA EXCHANGE PLATFORM Architecture of IUDX Platform Adaptive Self-Distillation for Minimizing Client Drift in Heterogeneous Federated Learning Authors: M. Yashwanth, G. K. Nayak, A. Singh, Y. Simmhan, A. Chakraborty Federated Learning (FL) is a machine learning paradigm that enables clients to jointly train a global model by aggregating the locally trained models without sharing any local training data. In practice, …
	
	
		Continue Reading		
			
		
	
	
	
      
 
 
	
	
	
	
		Data Pricing Models for Data Exchange: Review Analysis
	
	
			- 
				 CDPG 
			
 
			- 
				 February 21, 2025 
			
 
		 
			- 
				 Policy			
 
		
		
			- 
				 
  					0 Comments			
  
	
	
	DATA EXCHANGE PLATFORM Architecture of IUDX Platform Adaptive Self-Distillation for Minimizing Client Drift in Heterogeneous Federated Learning Authors: M. Yashwanth, G. K. Nayak, A. Singh, Y. Simmhan, A. Chakraborty Federated Learning (FL) is a machine learning paradigm that enables clients to jointly train a global model by aggregating the locally trained models without sharing any local training data. In practice, …
	
	
		Continue Reading		
			
		
	
	
	
      
 
 
	
	
	
	
		Identifying Quantifiable and Automatable Data Quality Parameters for Data Exchange
	
	
			- 
				 CDPG 
			
 
			- 
				 February 21, 2025 
			
 
		 
			- 
				 Policy			
 
		
		
			- 
				 
  					0 Comments			
  
	
	
	DATA EXCHANGE PLATFORM Architecture of IUDX Platform Adaptive Self-Distillation for Minimizing Client Drift in Heterogeneous Federated Learning Authors: M. Yashwanth, G. K. Nayak, A. Singh, Y. Simmhan, A. Chakraborty Federated Learning (FL) is a machine learning paradigm that enables clients to jointly train a global model by aggregating the locally trained models without sharing any local training data. In practice, …
	
	
		Continue Reading		
			
		
	
	
	
      
 
 
	
	
	
	
		Exploring Institutional Factors Influences On Data Sharing With Data Exchange Platform
	
	
			- 
				 CDPG 
			
 
			- 
				 February 21, 2025 
			
 
		 
			- 
				 Policy			
 
		
		
			- 
				 
  					0 Comments			
  
	
	
	DATA EXCHANGE PLATFORM Architecture of IUDX Platform Adaptive Self-Distillation for Minimizing Client Drift in Heterogeneous Federated Learning Authors: M. Yashwanth, G. K. Nayak, A. Singh, Y. Simmhan, A. Chakraborty Federated Learning (FL) is a machine learning paradigm that enables clients to jointly train a global model by aggregating the locally trained models without sharing any local training data. In practice, …
	
	
		Continue Reading