Federated learning has recently emerged as a privacy-preserving distributed machine learning approach.Federated learning enables collaborative training of multiple clients and entire fleets without sharing the involve...Federated learning has recently emerged as a privacy-preserving distributed machine learning approach.Federated learning enables collaborative training of multiple clients and entire fleets without sharing the involved training datasets.By preserving data privacy,federated learning has the potential to overcome the lack of data sharing in the renewable energy sector which is inhibiting innovation,research and development.Our paper provides an overview of federated learning in renewable energy applications.We discuss federated learning algorithms and survey their applications and case studies in renewable energy generation and consumption.We also evaluate the potential and the challenges associated with federated learning applied in power and energy contexts.Finally,we outline promising future research directions in federated learning for applications in renewable energy.展开更多
Introduction:Communities situated in protected areas generate conflicts among park administrators,residents and scientists.Should they stay or should they go?This article presents a positive example of a community exi...Introduction:Communities situated in protected areas generate conflicts among park administrators,residents and scientists.Should they stay or should they go?This article presents a positive example of a community existing in a state park.The study describes the community’s governance process as well as how the park administration and the community solve the conflicts that arise and achieve a method of co-management in a multi-level governance process.Methods:The analysis is based on the Management and Transition Framework(MTF).We used a case study approach and collected data via document study,participatory observation and qualitative interviews.Results:We find that the agreed system of community-based co-management has improved the implementation and enforcement of the state park’s rules through negotiation and communication mechanisms in the park council.This relative success is due to the construction of social capital,equality and empowerment.Conclusions:For state parks in similar situations,the findings suggest that:1)a community should have at least a minimal level of self-organization;2)the empowerment of the community in the decision-making process is useful;3)the park administration should gain the trust of the residents;and 4)the effective management of ecosystem services can create a win-win situation for the community as well as the park.展开更多
基金supported by the Swiss National Science Foundation(Grant No.206342).
文摘Federated learning has recently emerged as a privacy-preserving distributed machine learning approach.Federated learning enables collaborative training of multiple clients and entire fleets without sharing the involved training datasets.By preserving data privacy,federated learning has the potential to overcome the lack of data sharing in the renewable energy sector which is inhibiting innovation,research and development.Our paper provides an overview of federated learning in renewable energy applications.We discuss federated learning algorithms and survey their applications and case studies in renewable energy generation and consumption.We also evaluate the potential and the challenges associated with federated learning applied in power and energy contexts.Finally,we outline promising future research directions in federated learning for applications in renewable energy.
基金This research has been funded by the 7th Framework Program of the European Union in the project CiVi.net,the capacity of civil society organisations and their networks in community-based environmental management,under contract ID:282750。
文摘Introduction:Communities situated in protected areas generate conflicts among park administrators,residents and scientists.Should they stay or should they go?This article presents a positive example of a community existing in a state park.The study describes the community’s governance process as well as how the park administration and the community solve the conflicts that arise and achieve a method of co-management in a multi-level governance process.Methods:The analysis is based on the Management and Transition Framework(MTF).We used a case study approach and collected data via document study,participatory observation and qualitative interviews.Results:We find that the agreed system of community-based co-management has improved the implementation and enforcement of the state park’s rules through negotiation and communication mechanisms in the park council.This relative success is due to the construction of social capital,equality and empowerment.Conclusions:For state parks in similar situations,the findings suggest that:1)a community should have at least a minimal level of self-organization;2)the empowerment of the community in the decision-making process is useful;3)the park administration should gain the trust of the residents;and 4)the effective management of ecosystem services can create a win-win situation for the community as well as the park.
